-
Notifications
You must be signed in to change notification settings - Fork 74
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
ebee1bc
commit 550317a
Showing
2 changed files
with
40 additions
and
0 deletions.
There are no files selected for viewing
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,40 @@ | ||
title: TIGER Challenge | ||
finished: true | ||
type: general | ||
picture: projects/tiger-banner.png | ||
template: project-single | ||
groups: pathology | ||
default_group: pathology | ||
description: Challenge on tumor infiltrating lymphcytes | ||
people: Mart van Rijthoven, Witali Aswolinskiy, Leslie Tessier, Joep Bogaerts, Maschenka Balkenhol, James Meakin, Bram van Ginneken, Francesco Ciompi, Jeroen van der Laak | ||
bibkeys: | ||
|
||
|
||
<img alt="TIGER Challenge logo" class="img-fluid" src="https://rumc-gcorg-p-public.s3.amazonaws.com/b/636/tiger-banner_z2IclkS.x20.jpeg"> | ||
|
||
|
||
TIGER is the first challenge on fully automated assessment of tumor-infiltrating lymphocytes (TILs) in H&E breast cancer slides. The goal of this challenge is to evaluate new computer algorithms for the automated assessment of tumor-infiltrating lymphocytes (TILs) in Her2 positive and Triple Negative breast cancer (BC) histopathology slides. In recent years, several studies have shown the predictive and prognostic value of visually scored TILs in BC as well as in other cancer types, making TILs a powerful biomarker that can potentially be used in the clinic. With TIGER, we aim at developing computer algorithms that can automatically generate a "TIL score" with a high prognostic value. | ||
|
||
## Tasks | ||
|
||
Participants in the TIGER challenge will have to develop computer algorithms to analyze H&E-stained whole-slide images of breast cancer histopathology, to perform three tasks: | ||
|
||
- detection of lymphocytes and plasma cells, which are the main types of cells considered as tumor-infiltrating lymphocytes; | ||
- segmentation of invasive tumor and tumor-associated stroma, which are the main tissue compartments considered when identifying relevant regions for the TILs; | ||
- compute an automated TILs score, one score per slide, based on the output of detection and segmentation. | ||
|
||
## Participate in the challenge | ||
|
||
The challenge is hosted on [Grand-Challenge](https://grand-challenge.org/). Please signup at the [TIGER Challenge](https://tiger.grand-challenge.org/). | ||
|
||
## Supporters | ||
|
||
The TIGER challenge is supported by | ||
|
||
- [International Immuno-Oncology Biomarker Working Group on Breast Cancer](https://tilsinbreastcancer.org) | ||
- [AWS](https://aws.amazon.com/) | ||
- [Jules Bordet Institute](https://www.bordet.be/) | ||
- [Breast Cancer Research Foundation](https://www.bcrf.org/) | ||
- [NuCLS](https://nucls.grand-challenge.org/) | ||
- [ExaMode](https://www.examode.eu/) | ||
|