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
