Artificial Intelligence in Digital Pathology: What Is the Future? <i<Part 1: From the Digital Slide Onwards</i<
This commentary aims to address the field of <i<Artificial intelligence</i< (AI) in <i<Digital Pathology</i< (DP) both in terms of the global situation and research perspectives. It has four polarities. <i<First</i<, it revisits the evolutions of digital pathology...
Ausführliche Beschreibung
Autor*in: |
Maria Rosaria Giovagnoli [verfasserIn] Daniele Giansanti [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Healthcare - MDPI AG, 2013, 9(2021), 7, p 858 |
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Übergeordnetes Werk: |
volume:9 ; year:2021 ; number:7, p 858 |
Links: |
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DOI / URN: |
10.3390/healthcare9070858 |
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Katalog-ID: |
DOAJ058550062 |
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10.3390/healthcare9070858 doi (DE-627)DOAJ058550062 (DE-599)DOAJ5d84af4da2944caa970da3e065f680d3 DE-627 ger DE-627 rakwb eng Maria Rosaria Giovagnoli verfasserin aut Artificial Intelligence in Digital Pathology: What Is the Future? <i<Part 1: From the Digital Slide Onwards</i< 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This commentary aims to address the field of <i<Artificial intelligence</i< (AI) in <i<Digital Pathology</i< (DP) both in terms of the global situation and research perspectives. It has four polarities. <i<First</i<, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i<Second</i<, it illustrates the main fields in the employment of AI in DP. <i<Third</i<, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i<Fourth</i<, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. e-health medical devices m-health digital-pathology picture archive and communication system artificial intelligence Medicine R Daniele Giansanti verfasserin aut In Healthcare MDPI AG, 2013 9(2021), 7, p 858 (DE-627)750371544 (DE-600)2721009-1 22279032 nnns volume:9 year:2021 number:7, p 858 https://doi.org/10.3390/healthcare9070858 kostenfrei https://doaj.org/article/5d84af4da2944caa970da3e065f680d3 kostenfrei https://www.mdpi.com/2227-9032/9/7/858 kostenfrei https://doaj.org/toc/2227-9032 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 7, p 858 |
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10.3390/healthcare9070858 doi (DE-627)DOAJ058550062 (DE-599)DOAJ5d84af4da2944caa970da3e065f680d3 DE-627 ger DE-627 rakwb eng Maria Rosaria Giovagnoli verfasserin aut Artificial Intelligence in Digital Pathology: What Is the Future? <i<Part 1: From the Digital Slide Onwards</i< 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This commentary aims to address the field of <i<Artificial intelligence</i< (AI) in <i<Digital Pathology</i< (DP) both in terms of the global situation and research perspectives. It has four polarities. <i<First</i<, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i<Second</i<, it illustrates the main fields in the employment of AI in DP. <i<Third</i<, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i<Fourth</i<, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. e-health medical devices m-health digital-pathology picture archive and communication system artificial intelligence Medicine R Daniele Giansanti verfasserin aut In Healthcare MDPI AG, 2013 9(2021), 7, p 858 (DE-627)750371544 (DE-600)2721009-1 22279032 nnns volume:9 year:2021 number:7, p 858 https://doi.org/10.3390/healthcare9070858 kostenfrei https://doaj.org/article/5d84af4da2944caa970da3e065f680d3 kostenfrei https://www.mdpi.com/2227-9032/9/7/858 kostenfrei https://doaj.org/toc/2227-9032 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2021 7, p 858 |
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Artificial Intelligence in Digital Pathology: What Is the Future? <i<Part 1: From the Digital Slide Onwards</i< |
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This commentary aims to address the field of <i<Artificial intelligence</i< (AI) in <i<Digital Pathology</i< (DP) both in terms of the global situation and research perspectives. It has four polarities. <i<First</i<, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i<Second</i<, it illustrates the main fields in the employment of AI in DP. <i<Third</i<, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i<Fourth</i<, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. |
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This commentary aims to address the field of <i<Artificial intelligence</i< (AI) in <i<Digital Pathology</i< (DP) both in terms of the global situation and research perspectives. It has four polarities. <i<First</i<, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i<Second</i<, it illustrates the main fields in the employment of AI in DP. <i<Third</i<, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i<Fourth</i<, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. |
abstract_unstemmed |
This commentary aims to address the field of <i<Artificial intelligence</i< (AI) in <i<Digital Pathology</i< (DP) both in terms of the global situation and research perspectives. It has four polarities. <i<First</i<, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. <i<Second</i<, it illustrates the main fields in the employment of AI in DP. <i<Third</i<, it looks at the future directions of the research challenges from both a clinical and technological point of view. <i<Fourth</i<, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement. |
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