ISIC-2016

The ISIC-2016 dataset is a benchmark that contains dermoscopic images of skin lesions used to evaluate automated skin lesion segmentation methods for early skin cancer detection.

Papers using ISIC-2016 (2)

Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks2025Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation2025