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Towards Clinical-Grade Cardiac MRI Segmentation: An Ensemble of Improved UNet Architectures

2025-10-09

Abstract excerpt

Accurate cardiac MRI segmentation is essential for quantitative analysis of cardiac structure and function in clinical practice. In this study, we propose an ensemble framework combining several improved UNet-based architectures to achieve robust and clinically reliable segmentation performance. The ensemble integrates multiple models, including variants of standard UNet, Residual UNet, and Attention UNet, optimiz...

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Literature Corpus work
3694ae83-dd43-55f3-b964-054ec9f22618
DOI
10.1101/2025.10.08.25337578
Open publication

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Towards Clinical-Grade Cardiac MRI Segmentation: An Ensemble of Improved UNet ArchitecturesDOI 10.1101/2025.10.08.25337578
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