Deep convolutional neural networks for onychomycosis detection using microscopic images with <scp>KOH</scp> examination-Reference-Cited by-同舟云学术

Deep convolutional neural networks for onychomycosis detection using microscopic images with KOH examination

Published:2022-07-31 Issue:12 Volume:65 Page:1119-1126
ISSN:0933-7407
Container-title:Mycoses
language:en
Short-container-title:Mycoses

Author:

Yilmaz Abdurrahim¹^ORCID,Göktay Fatih²^ORCID,Varol Rahmetullah¹^ORCID,Gencoglan Gulsum³^ORCID,Uvet Huseyin¹

Affiliation:

1. Department of Mechatronics Engineering Yildiz Technical University Istanbul Turkey

2. Department of Dermatology and Venereology, Hamidiye Medical Faculty Haydarpasa Numune Training and Research Hospital, University of Health Sciences Turkey Istanbul Turkey

3. Department of Dermatology Liv Hospital Vadistanbul, Istinye University Istanbul Turkey

Publisher

Wiley

Subject

Infectious Diseases,Dermatology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/myc.13498

Reference29 articles.

1. Deep Learning in Microscopy Image Analysis: A Survey

2. Onychomycosis: current trends in diagnosis and treatment;Westerberg DP;Am Fam Physician,2013

3. Update: nail unit dermatopathology

4. Meta-analysis of the utility of culture, biopsy, and direct KOH examination for the diagnosis of onychomycosis

5. PAS and GMS utility in dermatopathology: Review of the current medical literature

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