We're happy to announce the release of the training datasets for all 3 parts of the 2018 International Skin Imaging Collaboration (ISIC) Skin Image Analysis Challenge, hosted at MICCAI.

- Part 1: Lesion Segmentation
Predict lesion segmentation masks from dermoscopic images. 2600 images for training, 100 for validation, 1000 for test. $2,500 prize for top performing algorithm.

- Part 2: Lesion Attribute Detection
Classify and localize clinical dermoscopic attribute patterns as binary masks. Categories include "network", "negative network", "streaks", "milia-like cysts", "dots and globules". 2600 images for training, 100 for validation, 1000 for test. $2,500 prize for top performing algorithm.

Part 3: Disease Classification
Classify disease categories for dermoscopic images. 7 disease states, including "Nevus", "Dermatofibroma", "Melanoma", "Pigmented Actinic Keratoses / Bowen's Disease", "Pigmented Benign Keratoses", "Basal Cell Carcinoma", and "Vascular Lesions". 10,000 images provided for training, 200 for validation, 2000 for test. $2,500 prize for top performing algorithm.

Please see the associated workshop and challenge websites for more information:

http://workshop2018.isic-archive.com/
http://challenge2018.isic-archive.com/

Best regards,

ISIC 2018 Workshop and Challenge Organizers

M. Emre Celebi Ph.D. (University of Central Arkansas, Arkansas, USA)
Noel C. F. Codella Ph.D. (IBM Research, New York, USA)
Kristin Dana Ph.D. (Rutgers University, New Jersey, USA)
David Gutman M.D. (Emory University, Georgia, USA)
Allan Halpern M.D. (Memorial Sloan Kettering Cancer Center, New York, USA)
Brian Helba (Kitware, New York, USA)
Harald Kittler M.D. (Medical University of Vienna)
Philipp Tschandl, M.D. Ph.D. (Medical University of Vienna, Vienna, Austria)