Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability

Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability

Abstract Vitiligo is a hypopigmented skin disease characterized by the loss of melanin. The progressive nature and widespread incidence of vitiligo necessitate timely and accurate detection. Usually, a single diagnostic test often falls short of providing definitive confirmation of the condition, ne...

Full description

Bibliographic Details
Main Authors: Fan Zhong, Kaiqiao He, Mengqi Ji, Jianru Chen, Tianwen Gao, Shuli Li, Junpeng Zhang, Chunying Li
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Vitiligo
Swin transformer
Dermoscopic images
Class activation mapping
Online Access:https://doi.org/10.1038/s41598-024-59436-2

Internet

https://doi.org/10.1038/s41598-024-59436-2

Similar Items