Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method
Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation.
Autor*in: |
Salvaggio, Giuseppe [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Umfang: |
6 |
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Übergeordnetes Werk: |
Enthalten in: Irradiated recycled plastic as a concrete additive for improved chemo-mechanical properties and lower carbon footprint - Schaefer, Carolyn E. ELSEVIER, 2017, CPDR, New York, NY |
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Übergeordnetes Werk: |
volume:51 ; year:2022 ; number:3 ; pages:328-333 ; extent:6 |
Links: |
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DOI / URN: |
10.1067/j.cpradiol.2021.06.006 |
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ELV057051828 |
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10.1067/j.cpradiol.2021.06.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001699.pica (DE-627)ELV057051828 (ELSEVIER)S0363-0188(21)00106-7 DE-627 ger DE-627 rakwb eng 300 330 VZ 58.53 bkl 58.54 bkl Salvaggio, Giuseppe verfasserin aut Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method 2022 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. Comelli, Albert oth Portoghese, Marzia oth Cutaia, Giuseppe oth Cannella, Roberto oth Vernuccio, Federica oth Stefano, Alessandro oth Dispensa, Nino oth La Tona, Giuseppe oth Salvaggio, Leonardo oth Calamia, Mauro oth Gagliardo, Cesare oth Lagalla, Roberto oth Midiri, Massimo oth Enthalten in Elsevier Schaefer, Carolyn E. ELSEVIER Irradiated recycled plastic as a concrete additive for improved chemo-mechanical properties and lower carbon footprint 2017 CPDR New York, NY (DE-627)ELV000535540 volume:51 year:2022 number:3 pages:328-333 extent:6 https://doi.org/10.1067/j.cpradiol.2021.06.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 58.53 Abfallwirtschaft VZ 58.54 Radioaktive Abfälle und ihre Behandlung VZ AR 51 2022 3 328-333 6 |
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10.1067/j.cpradiol.2021.06.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001699.pica (DE-627)ELV057051828 (ELSEVIER)S0363-0188(21)00106-7 DE-627 ger DE-627 rakwb eng 300 330 VZ 58.53 bkl 58.54 bkl Salvaggio, Giuseppe verfasserin aut Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method 2022 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. Comelli, Albert oth Portoghese, Marzia oth Cutaia, Giuseppe oth Cannella, Roberto oth Vernuccio, Federica oth Stefano, Alessandro oth Dispensa, Nino oth La Tona, Giuseppe oth Salvaggio, Leonardo oth Calamia, Mauro oth Gagliardo, Cesare oth Lagalla, Roberto oth Midiri, Massimo oth Enthalten in Elsevier Schaefer, Carolyn E. ELSEVIER Irradiated recycled plastic as a concrete additive for improved chemo-mechanical properties and lower carbon footprint 2017 CPDR New York, NY (DE-627)ELV000535540 volume:51 year:2022 number:3 pages:328-333 extent:6 https://doi.org/10.1067/j.cpradiol.2021.06.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 58.53 Abfallwirtschaft VZ 58.54 Radioaktive Abfälle und ihre Behandlung VZ AR 51 2022 3 328-333 6 |
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10.1067/j.cpradiol.2021.06.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001699.pica (DE-627)ELV057051828 (ELSEVIER)S0363-0188(21)00106-7 DE-627 ger DE-627 rakwb eng 300 330 VZ 58.53 bkl 58.54 bkl Salvaggio, Giuseppe verfasserin aut Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method 2022 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. Comelli, Albert oth Portoghese, Marzia oth Cutaia, Giuseppe oth Cannella, Roberto oth Vernuccio, Federica oth Stefano, Alessandro oth Dispensa, Nino oth La Tona, Giuseppe oth Salvaggio, Leonardo oth Calamia, Mauro oth Gagliardo, Cesare oth Lagalla, Roberto oth Midiri, Massimo oth Enthalten in Elsevier Schaefer, Carolyn E. ELSEVIER Irradiated recycled plastic as a concrete additive for improved chemo-mechanical properties and lower carbon footprint 2017 CPDR New York, NY (DE-627)ELV000535540 volume:51 year:2022 number:3 pages:328-333 extent:6 https://doi.org/10.1067/j.cpradiol.2021.06.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 58.53 Abfallwirtschaft VZ 58.54 Radioaktive Abfälle und ihre Behandlung VZ AR 51 2022 3 328-333 6 |
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10.1067/j.cpradiol.2021.06.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001699.pica (DE-627)ELV057051828 (ELSEVIER)S0363-0188(21)00106-7 DE-627 ger DE-627 rakwb eng 300 330 VZ 58.53 bkl 58.54 bkl Salvaggio, Giuseppe verfasserin aut Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method 2022 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. Comelli, Albert oth Portoghese, Marzia oth Cutaia, Giuseppe oth Cannella, Roberto oth Vernuccio, Federica oth Stefano, Alessandro oth Dispensa, Nino oth La Tona, Giuseppe oth Salvaggio, Leonardo oth Calamia, Mauro oth Gagliardo, Cesare oth Lagalla, Roberto oth Midiri, Massimo oth Enthalten in Elsevier Schaefer, Carolyn E. ELSEVIER Irradiated recycled plastic as a concrete additive for improved chemo-mechanical properties and lower carbon footprint 2017 CPDR New York, NY (DE-627)ELV000535540 volume:51 year:2022 number:3 pages:328-333 extent:6 https://doi.org/10.1067/j.cpradiol.2021.06.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 58.53 Abfallwirtschaft VZ 58.54 Radioaktive Abfälle und ihre Behandlung VZ AR 51 2022 3 328-333 6 |
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10.1067/j.cpradiol.2021.06.006 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001699.pica (DE-627)ELV057051828 (ELSEVIER)S0363-0188(21)00106-7 DE-627 ger DE-627 rakwb eng 300 330 VZ 58.53 bkl 58.54 bkl Salvaggio, Giuseppe verfasserin aut Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method 2022 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. Comelli, Albert oth Portoghese, Marzia oth Cutaia, Giuseppe oth Cannella, Roberto oth Vernuccio, Federica oth Stefano, Alessandro oth Dispensa, Nino oth La Tona, Giuseppe oth Salvaggio, Leonardo oth Calamia, Mauro oth Gagliardo, Cesare oth Lagalla, Roberto oth Midiri, Massimo oth Enthalten in Elsevier Schaefer, Carolyn E. ELSEVIER Irradiated recycled plastic as a concrete additive for improved chemo-mechanical properties and lower carbon footprint 2017 CPDR New York, NY (DE-627)ELV000535540 volume:51 year:2022 number:3 pages:328-333 extent:6 https://doi.org/10.1067/j.cpradiol.2021.06.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO 58.53 Abfallwirtschaft VZ 58.54 Radioaktive Abfälle und ihre Behandlung VZ AR 51 2022 3 328-333 6 |
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deep learning network for segmentation of the prostate gland with median lobe enlargement in t2-weighted mr images: comparison with manual segmentation method |
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Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method |
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Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. |
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Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. |
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Aim of this study was to evaluate a fully automated deep learning network named Efficient Neural Network (ENet) for segmentation of prostate gland with median lobe enlargement compared to manual segmentation. |
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Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method |
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Comelli, Albert Portoghese, Marzia Cutaia, Giuseppe Cannella, Roberto Vernuccio, Federica Stefano, Alessandro Dispensa, Nino La Tona, Giuseppe Salvaggio, Leonardo Calamia, Mauro Gagliardo, Cesare Lagalla, Roberto Midiri, Massimo |
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