Deep learning approaches and applications in toxicologic histopathology: Current status and future perspectives

Deep learning approaches and applications in toxicologic histopathology: Current status and future perspectives

Whole slide imaging enables the use of a wide array of digital image analysis tools that are revolutionizing pathology. Recent advances in digital pathology and deep convolutional neural networks have created an enormous opportunity to improve workflow efficiency, provide more quantitative, objectiv...

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Bibliographic Details
Main Authors: Shima Mehrvar, Lauren E Himmel, Pradeep Babburi, Andrew L Goldberg, Magali Guffroy, Kyathanahalli Janardhan, Amanda L Krempley, Bhupinder Bawa
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Journal of Pathology Informatics
Subjects:
deep learning
digital image analysis
histopathology
machine learning
preclinical safety
toxicologic pathology
whole slide imaging
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2021;volume=12;issue=1;spage=42;epage=42;aulast=Mehrvar

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