From 403dc28963d1b56cffd4eda33f9f6682ce7b1327 Mon Sep 17 00:00:00 2001 From: voreille Date: Mon, 31 May 2021 10:35:33 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 304e05f..effc3d0 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -HECKTOR 2020 challenge +HECKTOR 2021 challenge ============================== This repository gives an example on how to preprocess the data of the HECKTOR challenge and run a baseline CNN segmentation on the training data (using NiftyNet). Any other preprocessing is welcomed and any framework can be used for the challenge, the only requirement is to submit the results in the same coordinate system as the original CT images (same spacing and same origin). This repository also contains the code used to prepare the data of the challenge (DICOM to NIFTI, SUV computation and bounding box generation, not needed for the participants). Moreover, it contains an example of implementation to resample the data within the bounding boxes and resample back to the original resolution, as well as a NiftyNet baseline implementation to train a CNN on 90% of the training data and evaluate the results on the remaining 10%.