LiTS - Liver Tumor Segmentation Challenge

Organized by PatrickChrist - Current server time: Jan. 20, 2017, 5:38 a.m. UTC

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Training Batch 1
Dec. 1, 2016, midnight UTC

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Training Batch 2
Jan. 15, 2017, midnight UTC

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ISBI Challenge
Feb. 15, 2017, midnight UTC

Overview

The liver is a common site of primary (i.e. originating in the liver like hepatocellular carcinoma, HCC) or secondary (i.e. spreading to the liver like colorectal cancer) tumor development. Due to their heterogeneous and diffusive shape, automatic segmentation of tumor lesions is very challenging. Until now, only interactive methods achieve acceptable results on segmenting liver lesions.

With our challenge we encourage researchers to develop automatic segmentation algorithms to segment liver lesions in contrast­-enhanced abdomen CT scans. The data and segmentations are provided by various clinical sites around the world. The challenge is organised in conjunction with ISBI 2017.

Get started

1. Register here to get access

2. Download the data after approval

3. Check our Google Groups and FAQ

5. Submit your results

6. Win the Challenge

Important Dates

  • 01.12.16 Release of training data batch 1
  • Mid January 17 Release of all training data
  • Mid Februrary 17 Release of Test data and Submission Deadline
  • 16.04.17 Results on ISBI
  • From 16.04.17 Online leaderboard

Evaluation measures

The goal of this challenge is to automatically segment liver lesions in CT volumes. We evaluate only liver lesion segmentations and not liver segmentations.

However, to foster performance we provide liver masks during training time. During test time only the medical volumes not no liver mask will be available.

We will evaluate Dice, volumetric overlap (VO), relative volume difference (RVD), average symmetric surface distance (ASSD) and maximum symmetric surface distance (MSSD). Please have a look at our metrics notebook (soon available).

Publication

The top 10 participating teams and individuals will be invited to contribute to a joint journal paper describing and summarising the methods used and results found in this challenge. The paper will be submitted to a high-impact journal in the field no later than 6 months after the challenge. In order to be included in the joint journal paper the participants must send to the organisers or submit to arXiv a 4 page paper in appropriate LNCS latex describing their methods. The organisers will review the paper for sufficient detail to be able to understand and reproduce the method and hold the right to exclude participants from the joint journal paper in case their method description was not adequate.

Attribution

Appropriate citation is to be made in scientific publications (journal publications, conference papers, technical reports, presentations at conferences and meetings) that use the data shared in this challenge. Currently, this citation must refer to this website, and later to the publication that will describe the results of this challenge. Teams must notify the organisers of the challenge about any publication that is (partly) based on the results or data published on this site, in order for us to maintain a list of publications associated with the challenge.

Data license

Creative Commons Licence This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Feel free to contact us if you have any questions or need clarification regarding the rules of the challenge or the licensing of the data.

Organizer and Data Contributors

Technical University of Munich

Patrick Christ, Florian Ettlinger, Felix Gruen, Georgios Kassis, Fabian Lohöfer, Rickmer Braren & Bjoern Menze

Ludwig Maxmilian University of Munich

Julian Holch, Felix Hofmann, Wieland Sommer & Volker Heinemann

Radboudumc

Colin Jacobs, Gabriel Efrain HumpireMamani & Bram van Ginneken

Polytechnique Montréal & CHUM Research Center

Gabriel Chartrand, Eugene Vorontsov, An Tang, Michal Drozdza & Samuel Kadoury

Tel Aviv University & Sheba Medical Center

Avi Ben-Cohen, Eyal Klang, Marianne M. Amitai, Eli Konen & Hayit Greenspan.

IRCAD

Johan Moreau, Alexandre Hostettler & Luc Soler

The Hebrew University of Jerusalem & Hadassah University Medical Center

Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna & Leo Joskowicz

 

FAQ

If you have questions please have a look at our Google Group. If you encounter any issues during the submission process please have a look into the CodaLab Documentation.

Training Batch 1

Start: Dec. 1, 2016, midnight

Training Batch 2

Start: Jan. 15, 2017, midnight

ISBI Challenge

Start: Feb. 15, 2017, midnight

Open leaderboard

Start: Feb. 22, 2017, midnight

Competition Ends

Never

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