Diabetic foot ulcers (DFUs) are a serious issue for diabetics, often resulting in amputations or death, creating a need for better, non-invasive diagnostic methods for early detection of infections and ischemia.
DFUCare is an innovative platform that uses computer vision and deep learning to non-invasively analyze and classify DFUs by localizing wounds and assessing their condition using smartphone images.
The platform showed strong results, achieving high accuracy in localization and classification of wounds, making it a promising solution for enhancing diabetic foot care and improving patient outcomes.