6 datasets found

The dataset used in the paper to evaluate the proposed two-stage approximately orthogonal training framework (TAOTF) for Deep Neural Networks (DNNs).

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...

The dataset used in this paper for multi-label skin lesion classification using dermoscopy and clinical images.

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.