ISIC 2018 Challenge [Closed]

Summary

This challenge is broken into three separate tasks:

  • Task 1: Lesion Segmentation  
  • Task 2: Lesion Attribute Detection
  • Task 3: Disease Classification

Each competitor may participate in any or all of these tasks.

In each task, participants are asked to submit automated predictions on a held-out test set by July 27th, 11:59:59pm EDT. In addition to submitting predictions, each competitor is required to submit a link to a single 4-page manuscript describing the methods used to generate predictions. Participants may combine descriptions for multiple tasks into a single manuscript.

Cash prizes of $2500 USD will be awarded to winners of each of the tasks. The monetary prizes for the winners of the challenge will be awarded at the time of the MICCAI Workshop in Granada on September 20, 2018. The prizes are being provided by Canfield Scientific, Inc., a US company, and are subject to any restrictions incumbent on the sponsor. Winners will be asked to identify a recipient individual or entity who will be required to provide tax documentation (U.S. citizens- IRS form W-9, non-U.S. citizens Form W-8 BEN).

When using the ISIC 2018 datasets in your research, please cite the following works:

[1] Noel Codella, Veronica Rotemberg, Philipp Tschandl, M. Emre Celebi, Stephen Dusza, David Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael Marchetti, Harald Kittler, Allan Halpern: "Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)", 2018; https://arxiv.org/abs/1902.03368

[2] Tschandl, P., Rosendahl, C. & Kittler, H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 doi:10.1038/sdata.2018.161 (2018).

The results are presented at the ISIC Skin Image Analysis Workshop and Challenge @ MICCAI 2018.

Organizers

Sponsors

  • Canfield Scientific  

Clinical Chair

  • Harald Kittler, M.D. Medical University of Vienna, Vienna, Austria

Computer Vision Chair

  • Noel C. F. Codella, Ph.D. IBM Research, New York, USA

Challenge Co-Chairs

  • M. Emre Celebi, Ph.D. University of Central Arkansas, Conway, Arkansas
  • Kristin Dana, Ph.D. Rutgers University, New Jersey, USA
  • David Gutman, Ph.D. Emory University, Atlanta, USA
  • Allan Halpern, M.D. Memorial Sloan Kettering Cancer Center, New York, USA
  • Brian Helba Kitware, Inc., New York, USA
  • Philipp Tschandl, M.D. Ph.D. Medical University of Vienna, Vienna, Austria; Postdoctoral fellow at Simon Fraser University, British Columbia, Canada, supported by a one-year unrestricted research grant from MetaOptima Technology Inc.

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.