An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network

An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network

Abstract Diabetic Foot Ulcer (DFU) is a severe complication of diabetes mellitus, resulting in significant health and socio-economic challenges for the diagnosed individual. Severe cases of DFU can lead to lower limb amputation in diabetic patients, making their diagnosis a complex and costly proces...

Full description

Saved in:
Bibliographic Details
Main Authors: R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Swin transformer
Diabetic foot ulcer
CNN
Deep learning
Shuffle attention
Online Access:https://doi.org/10.1038/s41598-025-87519-1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-87519-1

Similar Items