SwinDFU-Net: Deep learning transformer network for infection identification in diabetic foot ulcer.
Journal:
Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:
Jan 1, 2025
Abstract
BACKGROUND: The identification of infection in diabetic foot ulcers (DFUs) is challenging due to variability within classes, visual similarity between classes, reduced contrast with healthy skin, and presence of artifacts. Existing studies focus on visual characteristics and tissue classification rather than infection detection, critical for assessing DFUs and predicting amputation risk.