Diabetic Foot Ulcer (DFU) Satge Classification Using Image Classification

Abstract

Diabetic foot ulcers (DFUs) present a significant challenge to individuals with diabetes globally, given the escalating prevalence rates in parallel with the rising incidence of diabetes. The current management strategies often involve home wound care due to financial limitations, resulting in sporadic monitoring and delayed interventions. To tackle this problem, this study suggests an innovative solution by creating a precise classification system for DFUs through the utilization of image recognition technology. The system is designed to utilize the EfficientNet B7 model to classify DFUs according to the Wagner system, facilitating direct comparison with existing classification models. By providing real-time evaluation of wound status, this method aims to empower patients, optimize healthcare resources, and improve the management of DFUs. Despite previous research efforts, there is still a notable lack of highly accurate DFU classification systems, highlighting the originality and potential impact of this research.