7 datasets found

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

The Dermatologist-level Classification of Skin Cancer dataset is a collection of dermoscopic images of skin lesions.

The BCN20000 dataset is a collection of dermoscopic images of skin lesions from Barcelona.

The International Skin Imaging Collaboration (ISIC) 2019 dataset is a multi-source dataset for dermoscopic lesion classification. It consists of 25,531 images corresponding to...

A dataset for dermoscopy images, used for testing the proposed DoubleU-Net architecture.

A large-scale dataset of dermoscopic images for skin lesion diagnosis.

The dataset used in the paper is HAM10000, which is a dermoscopic image classification dataset. It contains 10,015 dermoscopic images categorized into 7 lesion types.