LesionAid: Vision Transformers-based Skin Lesion Generation and Classification

Understand

Skin cancer is one of the most prevalent forms of human cancer.

• It is recognized mainly visually, beginning with clinical screening and continuing with the dermoscopic examination, histological assessment, and specimen collection.
• Deep convolutional neural networks (CNNs) perform highly segregated and potentially universal tasks against a classified finegrained object.
• This research proposes a novel multi-class prediction framework that classifies skin lesions based on ViT and ViTGAN.