RSNA Intracranial Aneurysm Detection Dataset (RSNA-ICA)

The Radiological Society of North America Intracranial Aneurysm Detection (RSNA-ICA) dataset is a collection of over 4,000 CT brain scans annotated by a cohort of over 40 volunteer radiologists from RSNA and the American Society of Neuroradiology to show the presence and location of intracranial aneurysms. It also includes a set of about 200 imaging studies that are annotated with AI-generated segmentations highlighting abnormalities. The imaging data was provided by 18 institutions. Initially compiled in 2025 for the RSNA Intracranial Aneurysm Detection AI Challenge hosted on Kaggle competiti...

北美放射学会颅内动脉瘤检测（RSNA-ICA）数据集包含逾4000份脑部CT扫描影像，由40余名来自北美放射学会（Radiological Society of North America）及美国神经放射学会（American Society of Neuroradiology）的志愿放射科医师完成标注，以标注颅内动脉瘤的存在情况与具体病灶位置。该数据集同时收录约200份经AI生成的异常区域分割标注的影像学研究数据。该影像数据由18家机构提供支持。该数据集于2025年首次汇编，用于在Kaggle平台举办的北美放射学会颅内动脉瘤检测AI挑战赛……

搜集汇总

背景与挑战

背景概述

RSNA Intracranial Aneurysm Detection Dataset (RSNA-ICA) 是一个专为颅内动脉瘤检测设计的医学影像数据集，包含超过4,000个CT脑部扫描，由超过40名放射科医生标注，并附加约200个AI生成分割的影像，用于支持计算机视觉和机器学习研究。该数据集最初为2025年Kaggle竞赛编译，是同类中最大的公开资源，但仅限非商业用途（如学术研究和教育），且数据存储在AWS上，需遵守严格的访问和引用协议。