computed tomography computer vision csv labeled machine learning medical image computing medical imaging radiology x-ray tomography
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.
The dataset may be updated with additional or corrected data on a need-to-update basis.
You may access and use these de-identified imaging datasets and annotations (“the data”) for non-commercial purposes only, including academic research and education, as long as you agree to abide by the following provisions: Not to make any attempt to identify or contact any individual(s) who may be the subjects of the data. If you share or re-distribute the data in any form, include a citation to the “Brain CT Hemorrhage Dataset, Copyright RSNA, 2019” as follows: Flanders AF, et al. The RSNA Brain CT Hemorrhage Dataset [10.1148/ryai.2020190211]. Radiology: Artificial Intelligence 2020;2:3.
https://github.com/RSNA/AI-Challenge-Data
Radiological Society of North America (https://www.rsna.org/)
See all datasets managed by Radiological Society of North America (https://www.rsna.org/).
RSNA Intracranial Hemorrhage Detection was accessed on DATE from https://registry.opendata.aws/rsna-intracranial-hemorrhage-detection.
arn:aws:s3:::intracranial-hemorrhageus-west-2