An automated framework to classify skin lesions using Multi-Head Self Attention Layer-based Vision Transformers
Manas Ranjan Prusty
Skin lesions are one of the most prevalent form of diseases existing among us. Early detection and classification of potentially malignant skin lesions can give us a lead in the fight against skin cancer. There are many lesion classification divisions on medical grounds; however, an automated system that detects and classifies a majority of these classes is not prevalent. In view of this scenario, our proposed study aims to classify the input skin lesion images into nine classes, namely, squamou