Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning

Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning

Abstract Nailfold Capillaroscopy (NFC) is a simple, non-invasive diagnostic tool used to detect microvascular changes in nailfold. Chronic pathological changes associated with a wide range of systemic diseases, such as diabetes, cardiovascular disorders, and rheumatological conditions like systemic...

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Bibliographic Details
Main Authors: Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, Begoña García-Zapirain, Adel Elmaghraby
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Nailfold capillaroscopy
Abnormality detection
Classification
Transfer learning
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-85277-8
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