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New methods boost whole-heart segmentation accuracy in CT and MRI

Researchers have developed new methods to improve whole-heart segmentation in medical imaging, specifically for computed tomography (CT) and magnetic resonance imaging (MRI). One approach, proposed by Purdue-M2, uses a modality-routed pipeline that combines TotalSegmentator-initialized nnU-Netv2 models with site-characterized, label-preserving appearance augmentation, significantly boosting CT segmentation accuracy. Another method, LISynSeg, focuses on data-centric label-to-image synthesis, augmenting real-image training with synthetic volumes generated from cardiac label maps, which shows larger improvements for MRI than CT segmentation. Both strategies aim to enhance cross-site and cross-modality robustness in cardiac image analysis. AI

IMPACT These advancements in whole-heart segmentation could lead to more accurate diagnoses and treatment planning in cardiac care.

RANK_REASON The cluster contains two research papers detailing novel methods for medical image segmentation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New methods boost whole-heart segmentation accuracy in CT and MRI

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The cluster contains two research papers detailing novel methods for medical image segmentation.
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COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    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 …

  2. arXiv cs.CV TIER_1 English(EN) · Jiacheng Wang, Ivana Isgum, Ipek Oguz ·

    LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation

    arXiv:2608.31073v1 Announce Type: new Abstract: Whole-heart segmentation (WHS) in computed tomography (CT) and magnetic resonance imaging (MRI) is affected by acquisition shifts and heterogeneous cardiac annotations. Existing WHS systems combine architectural design, transfer lea…