RSNA Intracranial Hemorrhage Detection

RSNA assembled this dataset in 2019 for the RSNA Intracranial Hemorrhage Detection AI Challenge (https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/). De-identified head CT studies were provided by four research institutions. A group of over 60 volunteer expert radiologists recruited by RSNA and the American Society of Neuroradiology labeled over 25,000 exams for the presence and subtype classification of acute intracranial hemorrhage.

RSNA于2019年为RSNA颅内出血检测AI挑战赛（https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/）汇编了本数据集。四家研究机构提供了去标识化头部CT检查研究数据。由RSNA与美国神经放射学学会招募的60余名志愿资深放射科专家，对超过25000例检查进行标注，以判定急性颅内出血的存在与否并完成其亚型分类。

搜集汇总

背景与挑战

背景概述

RSNA颅内出血检测数据集包含25,000多个经专业标注的头部CT扫描，用于机器学习模型开发，仅限非商业用途。该数据集由RSNA在2019年创建，旨在支持医学影像AI研究。