SOURCE-LINKED INTELLIGENCE
Improving Cross-Site Whole-Heart Segmentation
Whole-heart segmentation from CT and MRI is essential for quantitative cardiac image analysis, but remains challenging under multi-center and multi-modality distribution shift. In the CARE whole-heart segmentation task, models must generalize from limited labeled sites to unseen acquisition distributions, where variation in spacing, intensity, reconstruction texture, and anatomy can degrade out-of-distribution performance. We propose a modality-routed 3D cardiac segmentation pipeline that combines TotalSegmentator-initialized nnU-Netv2 models with site-characterized, label-preserving appearanc
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T20:03:53.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.