Comparative Evaluation of Transfer Learning Architectures for Five-Class Skin Disease Classification with Grad-CAM Explainability
Skin disorders affect approximately 1.9 billion people worldwide and remain significantly underdiagnosed due to the global shortage of dermatologists. This study provides a thorough comparative investigation between four pre-trained deep CNN models — ResNet-50, EfficientNetB0, MobileNetV2, and Xception — for automatic...