Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study.

Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study.

Pathologists routinely use immunohistochemical (IHC)-stained tissue slides against MelanA in addition to hematoxylin and eosin (H&E)-stained slides to improve their accuracy in diagnosing melanomas. The use of diagnostic Deep Learning (DL)-based support systems for automated examination of tissu...

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Bibliographic Details
Main Authors: Christoph Wies, Lucas Schneider, Sarah Haggenmüller, Tabea-Clara Bucher, Sarah Hobelsberger, Markus V Heppt, Gerardo Ferrara, Eva I Krieghoff-Henning, Titus J Brinker
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0297146

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https://doi.org/10.1371/journal.pone.0297146

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