8 datasets found

The ISIC Melanoma detection dataset is a public dataset with 2000 training and 600 test images. Each image belongs to one of the three classes: melanoma, seborrheic keratosis,...

Skin lesion analysis toward melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging...

Skin lesion analysis towards melanoma detection: A challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging...

Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma.

Skin Lesion Analysis dataset for melanoma detection

The ISIC-2016 dataset is a public challenge dataset dedicated to Skin Lesion Analysis for Melanoma Detection.

The dataset used in the paper is Fed-ISIC2019, which is a medical image classification dataset. It contains 23,247 samples across eight melanoma classes.

Skin lesion analysis toward melanoma detection 2018: A challenge hosted by the international skin imaging collaboration (isic).