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ImageCAS dataset enhanced with coronary ostia landmarks and centerline graphs

By PulseAugur Editorial · [1 sources] ·

Researchers have enhanced the ImageCAS dataset, a large collection for coronary artery segmentation, by adding annotations for coronary ostia and rooted centerline graphs. This expansion makes ImageCAS the most extensive public dataset for ostium localization and the only one featuring centerlines aligned with official ImageCAS masks and starting at the new ostia annotations. The study benchmarks six 3D localization models, with SwinUNETR-V2 and nnResUNet demonstrating high accuracy in localizing all ostia, significantly improving performance when trained on the augmented ImageCAS dataset. AI

IMPACT Enhances medical imaging datasets, potentially improving AI model performance in cardiovascular analysis.

RANK_REASON The item is an academic paper detailing a new dataset and benchmark for medical image analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ImageCAS dataset enhanced with coronary ostia landmarks and centerline graphs

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The item is an academic paper detailing a new dataset and benchmark for medical image analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Matteo Leccardi, Andrea Moglia, Marco Morandini, Michele Brembilla, Alessandro Nicosia, Andrea Penserini, Christian Brandini, Ender Konukoglu, Marco Marcon, Luca Mainardi, Pietro Cerveri ·

    Beyond Segmentation: Enriching ImageCAS with Coronary Ostia Landmarks, Rooted Centerline Graphs, and Open-Weight Localization Models

    arXiv:2611.09714v1 Announce Type: cross Abstract: Coronary ostia and centerlines are key reference points for automated analysis of coronary computed tomography angiography (CCTA), from surgical planning to intraoperative vessel tracking. However, the only public ostium annotatio…

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