The ISIC 2020 Challenge Dataset

Skin Lesion Analysis Towards Melanoma Detection

SIIM-ISIC Melanoma Classification Challenge

The dataset contains 33,126 dermoscopic training images of unique benign and malignant skin lesions from over 2,000 patients. Each image is associated with one of these individuals using a unique patient identifier. All malignant diagnoses have been confirmed via histopathology, and benign diagnoses have been confirmed using either expert agreement, longitudinal follow-up, or histopathology. A thorough publication describing all features of this dataset is forthcoming. The dataset can be accessed at: https://www.kaggle.com/c/siim-isic-melanoma-classification/data

The dataset was generated by the International Skin Imaging Collaboration (ISIC) and images are from the following sources: Hospital Clínic de Barcelona, Medical University of Vienna, Memorial Sloan Kettering Cancer Center, Melanoma Institute Australia, University of Queensland, and the University of Athens Medical School.

DOI: https://doi.org/10.34970/2020-ds01

Organizers

Sponsors

ISIC

SIIM

Clinical Chairs

  • Peter Soyer
  • Allan Halpern
  • Pascale Guitera

Computer Vision Chairs

Challenge Co-Chairs

  • Marc Combalia, M.S. (Fundació Clínic per a la Recerca Biomèdica, Barcelona, Spain)
  • Veronica Rotemberg, M.D., Ph.D. (Memorial Sloan Kettering Cancer Center, New York City, NY, USA)

Partners

SIIM

  • George Shih
  • Steve Langer
  • Anna Zawacki

Memorial Sloan Kettering Cancer Center:

  • Jochen Weber
  • Nick Kurtansky
  • Allan Halpern
  • Steve Dusza

Hospital Clinic, Barcelona:

  • Josep Malvehy
  • Marc Combalia

Medical University of Vienna

  • Harald Kittler
  • Philipp Tschandl

Emory

  • David Gutman

The University of Queensland

  • Peter Soyer
  • Brigid Betz-Stablein

Melanoma Institute Australia and Sydney Melanoma Diagnostic Center

  • Pascale Guitera

University of Athens

  • Kontantinos Lioprys
  • Alexander Stratigos