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About Dataset

Three classes of lesions:

  • Malignant Melanoma: Melanoma, also known as malignant melanoma, is the most common type of skin cancer and arises from pigment-producing cells known as melanocytes. Melanomas typically appear on the skin and rarely in other locations such as the mouth, intestines, or eye.

  • Seborrheic Keratosis: Seborrheic keratosis is a non-cancerous (benign) skin tumor that originates in the cells of the outer layer of the skin (keratinocytes), making it a non-melanocytic lesion.

  • Benign Nevus (Mole): A benign skin tumor originating from melanocytes (melanocytic).

Dataset Description

The dataset has been obtained from the 'International Skin Imaging Collaboration' (ISIC) archive. It contains 2750 images divided into 3 sets:

Training Set: 2000 images

Validation Set: 150 images

Test Set: 600 images

For each clinical case, we have two images available:

Dermoscopic image of the lesion (in the 'images' folder).

Binary mask with segmentation between lesion (mole) and skin (in the 'masks' folder).

Additionally, there is a CSV file for each dataset (training, validation, and test), where each row corresponds to a clinical case, defined with two fields separated by commas:

The numeric id of the lesion: which allows defining the paths to the files containing the image and the mask.

The label of the lesion: available only for training and validation, being an integer between 0 and 2: 0: benign nevus, 1: malignant melanoma, 2: seborrheic keratosis. In the case of the test set, labels are not available (their value is -1).