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News/CARDIAG: A Dense Segment Classification Benchmark of Deep Learning Architectures for Coronary Angiography
arxiv
PublishedJuly 27, 2026 at 4:00 AM
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CARDIAG: A Dense Segment Classification Benchmark of Deep Learning Architectures for Coronary Angiography

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arXiv:2607.22139v1 Announce Type: cross Abstract: Accurate pixel-level classification of coronary angiograms is critical for cardiovascular disease assessment, yet the field lacks standardized evaluation protocols. In this work we demonstrate a new benchmark for the assessment of deep learning model

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