Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images

Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images

Background: Onychomycosis numbers among the most common fungal infections in humans affecting finger- or toenails. Histology remains a frequently applied screening technique to diagnose onychomycosis. Screening slides for fungal elements can be time-consuming for pathologists, and sensitivity in cas...

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Bibliographic Details
Main Authors: Philipp Jansen, Adelaida Creosteanu, Viktor Matyas, Amrei Dilling, Ana Pina, Andrea Saggini, Tobias Schimming, Jennifer Landsberg, Birte Burgdorf, Sylvia Giaquinta, Hansgeorg Müller, Michael Emberger, Christian Rose, Lutz Schmitz, Cyrill Geraud, Dirk Schadendorf, Jörg Schaller, Maximilian Alber, Frederick Klauschen, Klaus G. Griewank
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Fungi
Subjects:
deep learning
artificial intelligence
U-NET
onychomycosis
dermatology
Online Access:https://www.mdpi.com/2309-608X/8/9/912

Internet

https://www.mdpi.com/2309-608X/8/9/912

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