Diagnostic performance of deep learning algorithms applied to three common diagnoses in dermatopathology

Diagnostic performance of deep learning algorithms applied to three common diagnoses in dermatopathology

Background: Artificial intelligence is advancing at an accelerated pace into clinical applications, providing opportunities for increased efficiency, improved accuracy, and cost savings through computer-aided diagnostics. Dermatopathology, with emphasis on pattern recognition, offers a unique opport...

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Bibliographic Details
Main Authors: Thomas George Olsen, B Hunter Jackson, Theresa Ann Feeser, Michael N Kent, John C Moad, Smita Krishnamurthy, Denise D Lunsford, Rajath E Soans
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2018-01-01
Series:Journal of Pathology Informatics
Subjects:
Artificial intelligence
computational pathology
computer-aided diagnosis
deep learning algorithm
dermatopathology
digital pathology
whole slide images
Online Access:http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2018;volume=9;issue=1;spage=32;epage=32;aulast=Olsen

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http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2018;volume=9;issue=1;spage=32;epage=32;aulast=Olsen

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