… and validated using cardiac imaging … cardiac segmentation, this paper presents the results
of the Multi-Centre, Multi-Vendor and MultiDisease Cardiac Segmentation (M&Ms) Challenge, …

… the M&Ms-2 challenge in detail. The obtained results show the challenging nature of the task
of automatically segmenting … Moreover, the findings of the challenge highlight the need for …

… (ED) of the cardiac MRI sequence timeframes are annotated. … sequence timeframes to improve
cardiac segmentation by label … and vendors for more robust cardiac image segmentation. …

… on a large-scale cardiac MRI dataset. Handling the class … -supervised segmentation method
to improve segmentation … datasets, STACOM2018, and M&Ms 2020 challenges, to show the …

… took part in the M&Ms challenge. The results in Table 3 were obtained from Campello et al.
[37]. … of the M&Ms challenge for providing us with a diverse collection of cardiac MR studies. …

… for segmentation of the left ventricle on Cardiac MRI data. We performed … from M&Ms 2020
challenge [4]. The purpose of the challenge is to provide a method for image segmentation …

… of left ventricle, right ventricle and myocardium on cardiac MRI images. Our method is based
… that the segmentation method implemented for participation in the M&Ms challenge has not …

… proposed method on the M&Ms challenge dataset of 350 subjects. … The M&Ms Challenge
training dataset contains 75 labeled … Footnote 1 The M&Ms challenge test dataset contains 200 …

… prize in the LVQuan19 Challenge [22, 30]. We evaluate the segmentation performance of the
… and multi-center applications on the M&Ms 2020 Challenge. The results show that the DA …

… Our results rank third place in the M&Ms challenge. The code and trained models are … The
M&Ms challenge is the first international competition to date on cardiac image segmentation …