7 datasets found

Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for further diagnosis....

The ISIC 2017 dataset is a collection of images of skin lesions, with annotations for segmentation.

The PH2 dataset used for evaluation of the proposed deep learning model for automatic skin lesion segmentation on dermoscopic images.

ISIC-2016 and PH2 dataset contains 900 samples with lesion segmentations from dermoscopic images.

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

Skin Lesion Analysis dataset for melanoma detection

Skin lesion segmentation dataset