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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Bibliographic Details
Main Authors: Hamid Reza Tizhoosh (Author), Liron Pantanowitz (Author)
Format: Book
Published: Elsevier, 2018-01-01T00:00:00Z.
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500 |a 2153-3539 
500 |a 10.4103/jpi.jpi_53_18 
520 |a 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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690 |a Artificial intelligence 
690 |a deep learning 
690 |a digital pathology 
690 |a Computer applications to medicine. Medical informatics 
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690 |a Pathology 
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786 0 |n Journal of Pathology Informatics, Vol 9, Iss 1, Pp 38-38 (2018) 
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