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Overview

Built on the success of its predecessor, CAMELYON17 is the second grand challenge in pathology organised by the Diagnostic Image Analysis Group (DIAG) and Department of Pathology of the Radboud University Medical Center (Radboudumc) in Nijmegen, The Netherlands.

The goal of this challenge is to evaluate new and existing algorithms for automated detection and classification of breast cancer metastases in whole-slide images of histological lymph node sections. This task has high clinical relevance and would normally require extensive microscopic assessment by pathologists. The presence of metastases in lymph nodes has therapeutic implications for breast cancer patients. Therefore, an automated solution would hold great promise to reduce the workload of pathologists while at the same time reduce the subjectivity in diagnosis.

Last year at ISBI, we organised the highly successful CAMELYON16 grand challenge, in which 32 submissions from as many as 23 research groups were received. This was the first challenge ever using whole-slide images, having participants download over 600GB of data. This year, CAMELYON17 will invigorate the challenge by moving from slide level analysis to patient level analysis (i.e. combining the assessment of multiple lymph node slides into one outcome). This will bring the efforts closer to direct usefulness in a clinical setting. Compared to last year, the dataset will be significantly extended and will contain images from five medical centers.

How to participate

  1. Read the rules carefully.

  2. Register for the challenge by filling in the online registration form. Registration is a mandatory step before downloading data and submitting results to the challenge. We recommend registering with a Gmail address.

  3. When your registration to CAMELYON17 is accepted, you will receive an invitation to the Google Drive where the challenge data set is shared.

  4. CAMELYON17 has a Google group which enables discussion about different topics relevant to the challenge. We encourage you to participate in this group after registration.

  5. After the results submission deadline, the organisers will evaluate the results. The results will be made public at the challenge workshop, and afterwards, on this website.

Important dates

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  • 18 April 2017: Challenge workshop at ISBI 2017, Melbourne, Australia.

  • 1 April 2017: Submission deadline for results.

  • 1 March 2017: Test dataset is released.

  • 16 February 2017: Third, fourth and fifth training dataset are released.

  • 18 December 2016: Second training dataset is released.

  • 20 November 2016: First training dataset is released.

  • 18 November 2016: Registration is opened.

  • 10 November 2016: Challenge website launched.

 

 

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