9 datasets found

A dataset of 90 Hematoxylin and Eosin (H&E) stained skin biopsy whole slide images (WSIs) from Stavanger University Hospital (SUH) in Norway.

A dataset of 200 dermoscopic images (80 atypical nevi, 80 common nevi, and 40 melanomas) taken by a Mole Analyzer system with a 20x magnification.

A smartphone application to capture or import images of skin lesions, perform feature extraction based on the ABCD rule, and classify their malignancy based on the SVM classifier.

Skin Cancer detection and classification using CNN

The dataset used for training and testing the DeepMediX model, which consists of brain MRI and skin cancer images.

Skin cancer segmentation and lung lesion segmentation datasets

Skin cancer segmentation using Segment Anything Model

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.

The dataset contains skin lesion images with annotated lesions.