Skin cancer is the most common cancer globally, with melanoma being the most deadly form. Dermoscopy is a skin imaging modality that has demonstrated improvement for diagnosis of skin cancer compared to unaided visual inspection. However, clinicians should receive adequate training for those improvements to be realized. In order to make expertise more widely available, the International Skin Imaging Collaboration (ISIC) has developed the ISIC Archive, an international repository of dermoscopic images, for both the purposes of clinical training, and for supporting technical research toward automated algorithmic analysis by hosting the ISIC Challenges.


The goal for ISIC 2019 is classify dermoscopic images among nine different diagnostic categories:

  1. Melanoma
  2. Melanocytic nevus
  3. Basal cell carcinoma
  4. Actinic keratosis
  5. Benign keratosis (solar lentigo / seborrheic keratosis / lichen planus-like keratosis)
  6. Dermatofibroma
  7. Vascular lesion
  8. Squamous cell carcinoma
  9. None of the others

25,331 images are available for training across 8 different categories. Additionally, the test dataset (planned release August 2nd) will contain an additional outlier class not represented in the training data, which developed systems must be able to identify.

Two tasks will be available for participation: 1) classify dermoscopic images without meta-data, and 2) classify images with additional available meta-data. Task 1's deadline will be August 9th. Task 2 will be August 16th, after release of test meta-data on August 9th. Participants of Task 2 must submit to Task 1 as well, though participants can submit to Task 1 alone.

In addition to submitting predictions, each competitor is required to submit a link to a manuscript describing the methods used to generate predictions.


  • Training data release May 3, 2019
  • Test images release August 2, 2019
  • Submission deadline: images-only test August 9, 2019
  • Test metadata release August 9, 2019
  • Submission deadline: images and metadata test August 16, 2019
  • Winners announced, and speaker invitations sent August 23, 2019
  • MICCAI2019 Workshop October 13 or 17, 2019


  • Canfield Scientific
  • IBM
  • MetaOptima

Clinical Chairs

  • Josep Malvehy, M.D.
    University Hospital Clinic of Barcelona, Barcelona, Spain
  • Allan Halpern, M.D.
    Memorial Sloan Kettering Cancer Center, New York City, NY, USA

Computer Vision Chairs

  • Noel C. F. Codella, Ph.D.
    IBM Research, Yorktown Heights, NY, USA

Challenge Co-Chairs

  • M. Emre Celebi, Ph.D.
    University of Central Arkansas, Conway, AR, USA
  • Marc Combalia, M.S.
    Fundació Clínic per a la Recerca Biomèdica, Barcelona, Spain
  • David Gutman, M.D., Ph.D.
    Emory University, Atlanta, GA, USA
  • Brian Helba
    Kitware, Inc., Clifton Park, NY, USA
  • Harald Kittler, M.D.
    Medical University of Vienna, Vienna, Austria
  • Veronica Rotemberg, M.D., Ph.D.
    Memorial Sloan Kettering Cancer Center, New York City, NY, USA
  • Philipp Tschandl, M.D., Ph.D.
    Medical University of Vienna, Vienna, Austria

Note: Any organizations/companies affiliated with members of the organizing committee are not excluded from participation in the Challenge, but must assure that their submissions are completely independent of the members of the organizing committee.