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. 2020 Jun 30;7:105. doi: 10.3389/fcvm.2020.00105

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Copyright © 2020 Chen, Bai, Davies, Bhuva, Manisty, Augusto, Moon, Aung, Lee, Sanghvi, Fung, Paiva, Petersen, Lukaschuk, Piechnik, Neubauer and Rueckert.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Visualization of good segmentation examples selected from three patient groups. NOR (without cardiac disease), DCM (dilated cardiomyopathy), AS (aortic stenosis). Row 1: Ground truth (manual annotations); row 2: predicted results by the UKBB model. Each block contains a slice from ED frame and its corresponding ES one for the same subject. This figure shows that the UKBB model produced satisfying segmentation results not only on healthy subjects but also on those DCM and AS cases with abnormal cardiac morphology. The AS example in this figure is a patient with aortic stenosis who previously had a myocardial infarction. Note that this AS case is from BSCMR-AS dataset where the MYO and RV on ES frames were not annotated by experts.