Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
• A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelin...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Avanzo, Michele [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021 |
|---|
| Schlagwörter: |
|---|
| Umfang: |
21 |
|---|
| Übergeordnetes Werk: |
Enthalten in: An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study - Almanassra, Ismail W. ELSEVIER, 2019, European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:83 ; year:2021 ; pages:221-241 ; extent:21 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ejmp.2021.04.010 |
|---|
| Katalog-ID: |
ELV054267366 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV054267366 | ||
| 003 | DE-627 | ||
| 005 | 20230624205915.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210910s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ejmp.2021.04.010 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica |
| 035 | |a (DE-627)ELV054267366 | ||
| 035 | |a (ELSEVIER)S1120-1797(21)00167-8 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 540 |q VZ |
| 084 | |a 35.21 |2 bkl | ||
| 100 | 1 | |a Avanzo, Michele |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy |
| 264 | 1 | |c 2021 | |
| 300 | |a 21 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a • A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. | ||
| 650 | 7 | |a Deep learning |2 Elsevier | |
| 650 | 7 | |a Imaging |2 Elsevier | |
| 650 | 7 | |a Machine learning |2 Elsevier | |
| 650 | 7 | |a Radiotherapy |2 Elsevier | |
| 650 | 7 | |a Artificial intelligence |2 Elsevier | |
| 650 | 7 | |a Radiomics |2 Elsevier | |
| 700 | 1 | |a Porzio, Massimiliano |4 oth | |
| 700 | 1 | |a Lorenzon, Leda |4 oth | |
| 700 | 1 | |a Milan, Lisa |4 oth | |
| 700 | 1 | |a Sghedoni, Roberto |4 oth | |
| 700 | 1 | |a Russo, Giorgio |4 oth | |
| 700 | 1 | |a Massafra, Raffaella |4 oth | |
| 700 | 1 | |a Fanizzi, Annarita |4 oth | |
| 700 | 1 | |a Barucci, Andrea |4 oth | |
| 700 | 1 | |a Ardu, Veronica |4 oth | |
| 700 | 1 | |a Branchini, Marco |4 oth | |
| 700 | 1 | |a Giannelli, Marco |4 oth | |
| 700 | 1 | |a Gallio, Elena |4 oth | |
| 700 | 1 | |a Cilla, Savino |4 oth | |
| 700 | 1 | |a Tangaro, Sabina |4 oth | |
| 700 | 1 | |a Lombardi, Angela |4 oth | |
| 700 | 1 | |a Pirrone, Giovanni |4 oth | |
| 700 | 1 | |a De Martin, Elena |4 oth | |
| 700 | 1 | |a Giuliano, Alessia |4 oth | |
| 700 | 1 | |a Belmonte, Gina |4 oth | |
| 700 | 1 | |a Russo, Serenella |4 oth | |
| 700 | 1 | |a Rampado, Osvaldo |4 oth | |
| 700 | 1 | |a Mettivier, Giovanni |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Almanassra, Ismail W. ELSEVIER |t An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study |d 2019 |d European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology |g Amsterdam |w (DE-627)ELV003857336 |
| 773 | 1 | 8 | |g volume:83 |g year:2021 |g pages:221-241 |g extent:21 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ejmp.2021.04.010 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 35.21 |j Lösungen |j Flüssigkeiten |x Physikalische Chemie |q VZ |
| 951 | |a AR | ||
| 952 | |d 83 |j 2021 |h 221-241 |g 21 | ||
| author_variant |
m a ma |
|---|---|
| matchkey_str |
avanzomicheleporziomassimilianolorenzonl:2021----:riiilnelgneplctosneiaiaigrveoteei |
| hierarchy_sort_str |
2021 |
| bklnumber |
35.21 |
| publishDate |
2021 |
| allfields |
10.1016/j.ejmp.2021.04.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica (DE-627)ELV054267366 (ELSEVIER)S1120-1797(21)00167-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.21 bkl Avanzo, Michele verfasserin aut Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy 2021 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Elsevier Porzio, Massimiliano oth Lorenzon, Leda oth Milan, Lisa oth Sghedoni, Roberto oth Russo, Giorgio oth Massafra, Raffaella oth Fanizzi, Annarita oth Barucci, Andrea oth Ardu, Veronica oth Branchini, Marco oth Giannelli, Marco oth Gallio, Elena oth Cilla, Savino oth Tangaro, Sabina oth Lombardi, Angela oth Pirrone, Giovanni oth De Martin, Elena oth Giuliano, Alessia oth Belmonte, Gina oth Russo, Serenella oth Rampado, Osvaldo oth Mettivier, Giovanni oth Enthalten in Elsevier Almanassra, Ismail W. ELSEVIER An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study 2019 European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology Amsterdam (DE-627)ELV003857336 volume:83 year:2021 pages:221-241 extent:21 https://doi.org/10.1016/j.ejmp.2021.04.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.21 Lösungen Flüssigkeiten Physikalische Chemie VZ AR 83 2021 221-241 21 |
| spelling |
10.1016/j.ejmp.2021.04.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica (DE-627)ELV054267366 (ELSEVIER)S1120-1797(21)00167-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.21 bkl Avanzo, Michele verfasserin aut Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy 2021 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Elsevier Porzio, Massimiliano oth Lorenzon, Leda oth Milan, Lisa oth Sghedoni, Roberto oth Russo, Giorgio oth Massafra, Raffaella oth Fanizzi, Annarita oth Barucci, Andrea oth Ardu, Veronica oth Branchini, Marco oth Giannelli, Marco oth Gallio, Elena oth Cilla, Savino oth Tangaro, Sabina oth Lombardi, Angela oth Pirrone, Giovanni oth De Martin, Elena oth Giuliano, Alessia oth Belmonte, Gina oth Russo, Serenella oth Rampado, Osvaldo oth Mettivier, Giovanni oth Enthalten in Elsevier Almanassra, Ismail W. ELSEVIER An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study 2019 European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology Amsterdam (DE-627)ELV003857336 volume:83 year:2021 pages:221-241 extent:21 https://doi.org/10.1016/j.ejmp.2021.04.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.21 Lösungen Flüssigkeiten Physikalische Chemie VZ AR 83 2021 221-241 21 |
| allfields_unstemmed |
10.1016/j.ejmp.2021.04.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica (DE-627)ELV054267366 (ELSEVIER)S1120-1797(21)00167-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.21 bkl Avanzo, Michele verfasserin aut Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy 2021 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Elsevier Porzio, Massimiliano oth Lorenzon, Leda oth Milan, Lisa oth Sghedoni, Roberto oth Russo, Giorgio oth Massafra, Raffaella oth Fanizzi, Annarita oth Barucci, Andrea oth Ardu, Veronica oth Branchini, Marco oth Giannelli, Marco oth Gallio, Elena oth Cilla, Savino oth Tangaro, Sabina oth Lombardi, Angela oth Pirrone, Giovanni oth De Martin, Elena oth Giuliano, Alessia oth Belmonte, Gina oth Russo, Serenella oth Rampado, Osvaldo oth Mettivier, Giovanni oth Enthalten in Elsevier Almanassra, Ismail W. ELSEVIER An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study 2019 European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology Amsterdam (DE-627)ELV003857336 volume:83 year:2021 pages:221-241 extent:21 https://doi.org/10.1016/j.ejmp.2021.04.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.21 Lösungen Flüssigkeiten Physikalische Chemie VZ AR 83 2021 221-241 21 |
| allfieldsGer |
10.1016/j.ejmp.2021.04.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica (DE-627)ELV054267366 (ELSEVIER)S1120-1797(21)00167-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.21 bkl Avanzo, Michele verfasserin aut Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy 2021 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Elsevier Porzio, Massimiliano oth Lorenzon, Leda oth Milan, Lisa oth Sghedoni, Roberto oth Russo, Giorgio oth Massafra, Raffaella oth Fanizzi, Annarita oth Barucci, Andrea oth Ardu, Veronica oth Branchini, Marco oth Giannelli, Marco oth Gallio, Elena oth Cilla, Savino oth Tangaro, Sabina oth Lombardi, Angela oth Pirrone, Giovanni oth De Martin, Elena oth Giuliano, Alessia oth Belmonte, Gina oth Russo, Serenella oth Rampado, Osvaldo oth Mettivier, Giovanni oth Enthalten in Elsevier Almanassra, Ismail W. ELSEVIER An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study 2019 European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology Amsterdam (DE-627)ELV003857336 volume:83 year:2021 pages:221-241 extent:21 https://doi.org/10.1016/j.ejmp.2021.04.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.21 Lösungen Flüssigkeiten Physikalische Chemie VZ AR 83 2021 221-241 21 |
| allfieldsSound |
10.1016/j.ejmp.2021.04.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica (DE-627)ELV054267366 (ELSEVIER)S1120-1797(21)00167-8 DE-627 ger DE-627 rakwb eng 540 VZ 35.21 bkl Avanzo, Michele verfasserin aut Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy 2021 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Elsevier Porzio, Massimiliano oth Lorenzon, Leda oth Milan, Lisa oth Sghedoni, Roberto oth Russo, Giorgio oth Massafra, Raffaella oth Fanizzi, Annarita oth Barucci, Andrea oth Ardu, Veronica oth Branchini, Marco oth Giannelli, Marco oth Gallio, Elena oth Cilla, Savino oth Tangaro, Sabina oth Lombardi, Angela oth Pirrone, Giovanni oth De Martin, Elena oth Giuliano, Alessia oth Belmonte, Gina oth Russo, Serenella oth Rampado, Osvaldo oth Mettivier, Giovanni oth Enthalten in Elsevier Almanassra, Ismail W. ELSEVIER An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study 2019 European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology Amsterdam (DE-627)ELV003857336 volume:83 year:2021 pages:221-241 extent:21 https://doi.org/10.1016/j.ejmp.2021.04.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.21 Lösungen Flüssigkeiten Physikalische Chemie VZ AR 83 2021 221-241 21 |
| language |
English |
| source |
Enthalten in An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study Amsterdam volume:83 year:2021 pages:221-241 extent:21 |
| sourceStr |
Enthalten in An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study Amsterdam volume:83 year:2021 pages:221-241 extent:21 |
| format_phy_str_mv |
Article |
| bklname |
Lösungen Flüssigkeiten |
| institution |
findex.gbv.de |
| topic_facet |
Deep learning Imaging Machine learning Radiotherapy Artificial intelligence Radiomics |
| dewey-raw |
540 |
| isfreeaccess_bool |
false |
| container_title |
An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study |
| authorswithroles_txt_mv |
Avanzo, Michele @@aut@@ Porzio, Massimiliano @@oth@@ Lorenzon, Leda @@oth@@ Milan, Lisa @@oth@@ Sghedoni, Roberto @@oth@@ Russo, Giorgio @@oth@@ Massafra, Raffaella @@oth@@ Fanizzi, Annarita @@oth@@ Barucci, Andrea @@oth@@ Ardu, Veronica @@oth@@ Branchini, Marco @@oth@@ Giannelli, Marco @@oth@@ Gallio, Elena @@oth@@ Cilla, Savino @@oth@@ Tangaro, Sabina @@oth@@ Lombardi, Angela @@oth@@ Pirrone, Giovanni @@oth@@ De Martin, Elena @@oth@@ Giuliano, Alessia @@oth@@ Belmonte, Gina @@oth@@ Russo, Serenella @@oth@@ Rampado, Osvaldo @@oth@@ Mettivier, Giovanni @@oth@@ |
| publishDateDaySort_date |
2021-01-01T00:00:00Z |
| hierarchy_top_id |
ELV003857336 |
| dewey-sort |
3540 |
| id |
ELV054267366 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV054267366</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624205915.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ejmp.2021.04.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV054267366</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1120-1797(21)00167-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">35.21</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Avanzo, Michele</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">21</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Deep learning</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Imaging</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radiotherapy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radiomics</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Porzio, Massimiliano</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lorenzon, Leda</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Milan, Lisa</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sghedoni, Roberto</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Russo, Giorgio</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Massafra, Raffaella</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fanizzi, Annarita</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barucci, Andrea</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ardu, Veronica</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Branchini, Marco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Giannelli, Marco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gallio, Elena</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cilla, Savino</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tangaro, Sabina</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lombardi, Angela</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pirrone, Giovanni</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">De Martin, Elena</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Giuliano, Alessia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Belmonte, Gina</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Russo, Serenella</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rampado, Osvaldo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mettivier, Giovanni</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Almanassra, Ismail W. ELSEVIER</subfield><subfield code="t">An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study</subfield><subfield code="d">2019</subfield><subfield code="d">European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV003857336</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:83</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:221-241</subfield><subfield code="g">extent:21</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ejmp.2021.04.010</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">35.21</subfield><subfield code="j">Lösungen</subfield><subfield code="j">Flüssigkeiten</subfield><subfield code="x">Physikalische Chemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">83</subfield><subfield code="j">2021</subfield><subfield code="h">221-241</subfield><subfield code="g">21</subfield></datafield></record></collection>
|
| author |
Avanzo, Michele |
| spellingShingle |
Avanzo, Michele ddc 540 bkl 35.21 Elsevier Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy |
| authorStr |
Avanzo, Michele |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV003857336 |
| format |
electronic Article |
| dewey-ones |
540 - Chemistry & allied sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
540 VZ 35.21 bkl Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics Elsevier |
| topic |
ddc 540 bkl 35.21 Elsevier Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics |
| topic_unstemmed |
ddc 540 bkl 35.21 Elsevier Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics |
| topic_browse |
ddc 540 bkl 35.21 Elsevier Deep learning Elsevier Imaging Elsevier Machine learning Elsevier Radiotherapy Elsevier Artificial intelligence Elsevier Radiomics |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
m p mp l l ll l m lm r s rs g r gr r m rm a f af a b ab v a va m b mb m g mg e g eg s c sc s t st a l al g p gp m e d me med a g ag g b gb s r sr o r or g m gm |
| hierarchy_parent_title |
An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study |
| hierarchy_parent_id |
ELV003857336 |
| dewey-tens |
540 - Chemistry |
| hierarchy_top_title |
An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV003857336 |
| title |
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy |
| ctrlnum |
(DE-627)ELV054267366 (ELSEVIER)S1120-1797(21)00167-8 |
| title_full |
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy |
| author_sort |
Avanzo, Michele |
| journal |
An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study |
| journalStr |
An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2021 |
| contenttype_str_mv |
zzz |
| container_start_page |
221 |
| author_browse |
Avanzo, Michele |
| container_volume |
83 |
| physical |
21 |
| class |
540 VZ 35.21 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Avanzo, Michele |
| doi_str_mv |
10.1016/j.ejmp.2021.04.010 |
| dewey-full |
540 |
| title_sort |
artificial intelligence applications in medical imaging: a review of the medical physics research in italy |
| title_auth |
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy |
| abstract |
• A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. |
| abstractGer |
• A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. |
| abstract_unstemmed |
• A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy |
| url |
https://doi.org/10.1016/j.ejmp.2021.04.010 |
| remote_bool |
true |
| author2 |
Porzio, Massimiliano Lorenzon, Leda Milan, Lisa Sghedoni, Roberto Russo, Giorgio Massafra, Raffaella Fanizzi, Annarita Barucci, Andrea Ardu, Veronica Branchini, Marco Giannelli, Marco Gallio, Elena Cilla, Savino Tangaro, Sabina Lombardi, Angela Pirrone, Giovanni De Martin, Elena Giuliano, Alessia Belmonte, Gina Russo, Serenella Rampado, Osvaldo Mettivier, Giovanni |
| author2Str |
Porzio, Massimiliano Lorenzon, Leda Milan, Lisa Sghedoni, Roberto Russo, Giorgio Massafra, Raffaella Fanizzi, Annarita Barucci, Andrea Ardu, Veronica Branchini, Marco Giannelli, Marco Gallio, Elena Cilla, Savino Tangaro, Sabina Lombardi, Angela Pirrone, Giovanni De Martin, Elena Giuliano, Alessia Belmonte, Gina Russo, Serenella Rampado, Osvaldo Mettivier, Giovanni |
| ppnlink |
ELV003857336 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth oth |
| doi_str |
10.1016/j.ejmp.2021.04.010 |
| up_date |
2024-07-06T21:14:56.297Z |
| _version_ |
1803865813206171648 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV054267366</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624205915.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ejmp.2021.04.010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001593.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV054267366</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1120-1797(21)00167-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">35.21</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Avanzo, Michele</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">21</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• A systematic search for papers on applications of AI to medical imaging in Italy was performed. • 168 research papers were selected 65% using machine learning, 35% deep learning. • A rapid increase of interest in AI was observed in the last years. • Further collaborations, initiatives and guidelines are needed to develop the research on AI on Imaging.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Deep learning</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Imaging</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radiotherapy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radiomics</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Porzio, Massimiliano</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lorenzon, Leda</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Milan, Lisa</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sghedoni, Roberto</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Russo, Giorgio</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Massafra, Raffaella</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fanizzi, Annarita</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barucci, Andrea</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ardu, Veronica</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Branchini, Marco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Giannelli, Marco</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gallio, Elena</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cilla, Savino</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tangaro, Sabina</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lombardi, Angela</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pirrone, Giovanni</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">De Martin, Elena</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Giuliano, Alessia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Belmonte, Gina</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Russo, Serenella</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rampado, Osvaldo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mettivier, Giovanni</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Almanassra, Ismail W. ELSEVIER</subfield><subfield code="t">An experimental study on stability and thermal conductivity of water/CNTs nanofluids using different surfactants: A comparison study</subfield><subfield code="d">2019</subfield><subfield code="d">European journal of medical physics : an international journal devoted to the applications of physics to medicine and biology</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV003857336</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:83</subfield><subfield code="g">year:2021</subfield><subfield code="g">pages:221-241</subfield><subfield code="g">extent:21</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ejmp.2021.04.010</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">35.21</subfield><subfield code="j">Lösungen</subfield><subfield code="j">Flüssigkeiten</subfield><subfield code="x">Physikalische Chemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">83</subfield><subfield code="j">2021</subfield><subfield code="h">221-241</subfield><subfield code="g">21</subfield></datafield></record></collection>
|
| score |
7.402316 |