English(EN) The RSNA Intracranial Aneurysm (RSNA-ICA) Dataset

推出新的数据集以支持人工智能驱动的颅内动脉瘤检测 · 跟踪1个来源

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

北美放射学会（RSNA）与多家其他医学协会合作，整理了RSNA颅内动脉瘤（RSNA-ICA）数据集。该大型公开数据集包含专家标注，由来自全球21家机构的4278名患者的7202个影像系列组成。它包括计算机断层扫描血管造影、磁共振血管造影和磁共振成像数据，重点在于检测和定位颅内动脉瘤。该数据集已用于2025年RSNA颅内动脉瘤检测挑战赛，并可用于非商业研究，以推进基于人工智能的动脉瘤检测。 AI

影响提供了一个大型、多样化的数据集，以推进人工智能驱动的颅内动脉瘤检测。

排序理由该条目是arXiv预印本，详细介绍了一个用于人工智能研究的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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arXiv cs.CV TIER_1 English(EN) · Maria Correia de Verdier, Rachit Saluja, Jason Sho, Maryam Vabarizad, Rennie Yung-Chieh Chen, Uyen N. T. Nguyen, Mona Alrehaili, Layal Aweidah, Deniz Bulja, Wesley C. Chan, Hernan Chaves, Madhavi Duvvuri, Huseyin Ekin Ergin, Undrakh-Erdene Erdenebold, Ek… · 2026-10-02 04:00

RSNA颅内动脉瘤（RSNA-ICA）数据集

arXiv:2610.01135v1 Announce Type: new Abstract: Intracranial aneurysm rupture is associated with substantial morbidity and mortality, yet aneurysm detection remains challenging, particularly for small lesions and on routine non-angiographic imaging examinations. To support the de…

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报道来源 [1]

RSNA颅内动脉瘤（RSNA-ICA）数据集

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