ZMIC CARE Challenges
CARE2026 in conjuction with MICCAI2026
This challenge is an upgraded version of CARE2025 competition, including CARE-Left Atrium, CARE-Liver, CARE-Myocardium, and CARE-Whole Heart.
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CARE2025 in conjuction with MICCAI2025
This challenge is an upgraded version of CARE2024 competition, including CARE-Cardiac, CARE-Myops, CARE-WHS, and CARE-Liver.
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CARE2024 in conjuction with MICCAI2024
This challenge is an upgraded version of previous competitions, including MM-WHS, MS-CMRSeg 2019, MyoPS 2020, and LAScarQS 2022.
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MMLiSeg in conjuction with ACAIT2024
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WS-MyoPS in conjuction with ACAIT2024
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LAScarQS2022
We will provide 200 subjects, and the target of this challenge is to quantify or segment the myocardial pathology (scars) of left atrial walls from LGE MRI of patients suffering atrial fibrillation.
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MyoPS2020
The challenge provides aligned cardiac T2/bSSFP/LGE MRI, which had been manually segmented the scars, edema, normal myocardium and LV/RV blood pool, from 45 patients. The target is to segment the myocardial pathology combining multi-sequence CMR. Specifically, the myocardium will be classified into normal, infarcted and edema regions, which is important for the diagnosis and treatment management of patients.
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MSCMRSeg2019
We provide 45 multi-sequence CMR images from patients who underwent cardiomyopathy. Each patient had been scanned using the three CMR sequences, i.e. the LGE, T2 and bSSFP. The task of this challenge is to segment the ventricles and myocardium from LGE CMR, combing with other two sequences (T2 and bSSFP) from same patients, which can be used to assist the LGE CMR segmentation.
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MMWHS
The challenge provides 120 multi-modality cardiac images acquired in real clinical environment. It aims at creating an open and fair competition for various research groups to test and validate their methods, particularly for the multi-modality whole heart segmentation. It is not only to benchmark various whole heart segmentation algorithms, but also to cover the topic of general cardiac image segmentation and registration and modeling.
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