IEEE

Skin Cancer Detection Using Different Deep Learning Models

Abstract: This study investigates the application of deep learning models, including CNN, ResNet50, and VGG16, for the early detection of skin cancer. Utilizing a dataset of 3,307 images, the models ...
IEEE

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network

Abstract: Skin lesions are localized regions of the skin exhibiting atypical growth or appearance and can be either benign or malignant. Detecting and classifying these lesions accurately is crucial ...