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Article

CAMUS-HeartNet: A Deep Meta-Ensemble Architecture for Accurate Cardiac Tissue Segmentation

2025-10-19

Abstract excerpt

Cardiac MRI segmentation remains a critical yet challenging task in medical image analysis, particularly for accurate delineation of multi-class cardiac structures using standard public datasets like CAMUS. In this work, we introduce CAMUS-HeartNet , a deep meta-ensemble architecture combining multiple U-Net variants with a meta-learner that intelligently fuses their predictions. We rigorously evaluate our metho...

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Identifiers and source

Literature Corpus work
d2a36a52-2e0e-5dc0-a0d3-234bfba86c17
DOI
10.1101/2025.10.17.25338213
Open publication

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CAMUS-HeartNet: A Deep Meta-Ensemble Architecture for Accurate Cardiac Tissue SegmentationDOI 10.1101/2025.10.17.25338213
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