DFootNet: A Domain Adaptive Classification Framework for Diabetic Foot Ulcers Using Dense Neural Network Architecture

An innovative and comprehensive classification framework for the accurate assessment of diabetic foot ulcers using a dense neural network architecture that provides insights into the decision-making process, and a comparative analysis of DFootNet’s performance against other popular deep learning models, showcasing its robustness and adaptability across various scenarios.