Electrical Engineering and Systems Science > Image and Video Processing
[Submitted on 15 May 2023 (v1), last revised 22 Sep 2024 (this version, v3)]
Title:The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
View PDF HTML (experimental)Abstract:A myriad of algorithms for the automatic analysis of brain MR images is available to support clinicians in their decision-making. For brain tumor patients, the image acquisition time series typically starts with an already pathological scan. This poses problems, as many algorithms are designed to analyze healthy brains and provide no guarantee for images featuring lesions. Examples include, but are not limited to, algorithms for brain anatomy parcellation, tissue segmentation, and brain extraction. To solve this dilemma, we introduce the BraTS inpainting challenge. Here, the participants explore inpainting techniques to synthesize healthy brain scans from lesioned ones. The following manuscript contains the task formulation, dataset, and submission procedure. Later, it will be updated to summarize the findings of the challenge. The challenge is organized as part of the ASNR-BraTS MICCAI challenge.
Submission history
From: Florian Kofler [view email][v1] Mon, 15 May 2023 20:17:03 UTC (6,326 KB)
[v2] Wed, 9 Aug 2023 16:13:00 UTC (6,648 KB)
[v3] Sun, 22 Sep 2024 14:34:23 UTC (8,929 KB)
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