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Artificial Intelligence and Digital Pathology: Challenges and Opportunities

In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that nee...

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Detalles Bibliográficos
Autores principales: Tizhoosh, Hamid Reza, Pantanowitz, Liron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289004/
https://www.ncbi.nlm.nih.gov/pubmed/30607305
http://dx.doi.org/10.4103/jpi.jpi_53_18
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author Tizhoosh, Hamid Reza
Pantanowitz, Liron
author_facet Tizhoosh, Hamid Reza
Pantanowitz, Liron
author_sort Tizhoosh, Hamid Reza
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description In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that need to be overcome in order to exploit the AI potentials in computational pathology. In this paper, we strive to provide a realistic account of all challenges and opportunities of adopting AI algorithms in digital pathology from both engineering and pathology perspectives.
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spelling pubmed-62890042019-01-03 Artificial Intelligence and Digital Pathology: Challenges and Opportunities Tizhoosh, Hamid Reza Pantanowitz, Liron J Pathol Inform Review Article In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that need to be overcome in order to exploit the AI potentials in computational pathology. In this paper, we strive to provide a realistic account of all challenges and opportunities of adopting AI algorithms in digital pathology from both engineering and pathology perspectives. Medknow Publications & Media Pvt Ltd 2018-11-14 /pmc/articles/PMC6289004/ /pubmed/30607305 http://dx.doi.org/10.4103/jpi.jpi_53_18 Text en Copyright: © 2018 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Review Article
Tizhoosh, Hamid Reza
Pantanowitz, Liron
Artificial Intelligence and Digital Pathology: Challenges and Opportunities
title Artificial Intelligence and Digital Pathology: Challenges and Opportunities
title_full Artificial Intelligence and Digital Pathology: Challenges and Opportunities
title_fullStr Artificial Intelligence and Digital Pathology: Challenges and Opportunities
title_full_unstemmed Artificial Intelligence and Digital Pathology: Challenges and Opportunities
title_short Artificial Intelligence and Digital Pathology: Challenges and Opportunities
title_sort artificial intelligence and digital pathology: challenges and opportunities
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289004/
https://www.ncbi.nlm.nih.gov/pubmed/30607305
http://dx.doi.org/10.4103/jpi.jpi_53_18
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