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New benchmark and dataset for segmenting brain's Circle of Willis arteries

Researchers have introduced the TopCoW benchmark challenge, accompanied by a new dataset for segmenting the Circle of Willis (CoW) arteries from CT and MR angiography scans. This initiative addresses the challenge of manually characterizing the CoW's complex and variable anatomy, which is crucial for understanding neurovascular diseases. The benchmark includes voxel-level annotations for 13 vessel components, evaluated on internal and external test sets, with top-performing algorithms achieving high accuracy in segmentation and variant classification. AI

IMPACT This benchmark could accelerate the development and clinical adoption of AI algorithms for neurovascular disease risk assessment and diagnosis.

RANK_REASON The cluster describes a new benchmark and dataset for a specific medical imaging task, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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

New benchmark and dataset for segmenting brain's Circle of Willis arteries

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The cluster describes a new benchmark and dataset for a specific medical imaging task, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano H\"oher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Chinmay Prabhakar, Ezequiel de la Rosa, Bastian Wittma… ·

    The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

    arXiv:2312.17670v5 Announce Type: replace-cross Abstract: The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, and outcome of serious neurovascular disease…