… classification system is developed in this paper to recognize nine different classes of pigmented
skin lesions (PSLs), using a separable vision transformer (… for skin cancer classification, …

… Abstract—The early detection of skin cancer through automation is crucial for … for classifying
skin cancer lesions using a Vision transformer (ViT) and evaluate it on the International Skin …

… cancers such as BCC, SCC, and IEC but also to identify skin … detection and classification
of nonmelanoma skin cancer. … and their visual representation before classification enhances …

… popular types of classification networks were introduced: AlexNet, ResNets, ViT, and MLP-Mixer.
These networks have played important roles in advancing computer vision community. …

… of transformer networks in the classification of skin cancer. This … techniques because the
skin cancer image dataset has … of vision transformers in accurately identifying various skin …

… Melanoma is the most severe type of skin cancer in lesions [1… Like other transformer networks,
vision transformers use self-… a grid of pixels; this allows the network to capture long-range …

… Visual examination is the primary diagnostic procedure for the dermatologist's skin cancer
diagnosis and visual … In this study, skin cancer classification performance and efficiency were …

… submitted Skin cancer detection and classification using a deep learning-based computer-assisted
diagnosis model. The DLCAL-SLDC skin lesion detection and classification … ’s visual …

… research endeavors in skin cancer detection and analysis, the International Skin Imaging …
predicated on transformers, exemplified by Vision Transformer (ViT) and Swin Transformer (…

… cancer has the potential for severe consequences. Recognizing the critical need for effective
skin cancer classification… Derived from the Transformer network, the Vision Transformer (ViT…