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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2018
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6289004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tizhooshhamidreza artificialintelligenceanddigitalpathologychallengesandopportunities AT pantanowitzliron artificialintelligenceanddigitalpathologychallengesandopportunities |