# Skin Cancer Classification

Fine-tuned based on Google's ViT model for melanoma cancer image classification, achieving an accuracy of 93.95%.

A fine-tuned model based on the Swin Transformer architecture, specifically designed for skin cancer image classification tasks

A fine-tuned model based on Swin Transformer architecture, specifically designed for skin cancer image classification tasks

This model is a skin cancer image classification model fine-tuned from microsoft/swin-tiny-patch4-window7-224, achieving an accuracy of 72.75%.