diabetic-foot-ulcer

Cross-dataset generalization benchmark of U-Net, DeepLabV3+, and SegFormer-B2 for diabetic foot ulcer segmentation. Includes leakage-screened protocol, multi-seed evaluation, failure analysis, and Wilcoxon tests across two independent external datasets.

A study-focused project on Diabetic Foot Ulcer (DFU) analysis using deep learning techniques. It explores image segmentation and image classification to understand and detect ulcer regions from medical images.

ABCDFU Support is an Android decision-support tool empowering patients with diabetic foot ulcers to manage wound progression, medication adherence, vital signs, and clinic visits. The app features secure photo tracking, educational resources, health summaries for clinicians, and robust privacy; all designed for accessible, offline use.

Depth-free pipeline that turns a single calibrated RGB photo of a diabetic foot ulcer into a printable, patient-specific wound-dressing patch.