MSPE-DeiT: A Vision Transformer-Based Multimodal Framework for Skin Cancer Diagnosis
A reliable multimodal deep learning framework that integrates dermoscopic images, 3D Total Body Photography scans, and patient clinical data to enhance diagnostic accuracy in skin cancer classification and uses an Artificial Neural Network architecture for clinical data classification is presented.