AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning
Abstract Background Despite significant advances in computer‐aided diagnostics, onychomycosis, a widespread fungal nail infection, lacks an automated approach for objective analysis and classification. Objectives Our study aimed to develop and validate automated machine learning models to accurately...
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| Main Authors: | C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | JEADV Clinical Practice |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/jvc2.577 |
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