This repository contains a curated, multi-source dataset specifically structured to benchmark machine learning models on automated skin lesion classification. The data aggregates several major open-ac
Digital camera photographs of the posterior trunk of patients at risk for melanoma, taken at UPMC Hillman Cancer Center as part of the 96-099 image/tissue banking protocol. Images from "Development
Validation set from the ISIC 2018 Challenge. When using the ISIC 2018 datasets in your research, please cite the following works: > [1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M
