Why the study?
Automatic segmentation of multi-modal CMRI scans is challenging due to variant intensity distribution and unclear boundaries between neighboring tissues and other organs.
Population
Multi-modal CMRI scans from the MS-CMRSeg-2019 challenge dataset and ACDC dataset
Comparison
MMC-Net vs other state-of-the-art models and existing approaches
Design
Algorithm development and validation study
Authors
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Hypothesis-generating for automated multi-modal CMRI segmentation; prospective validation required before clinical adoption.
The proposed MMC-Net deep learning model improves automated segmentation of cardiac structures on multi-modal CMRI scans and demonstrates strong generalization across datasets.
Yogarajah et al. (2022) studied this question.
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