computed tomography computer vision csv labeled machine learning medical image computing medical imaging radiology x-ray tomography
RSNA assembled this dataset in 2020 for the RSNA STR Pulmonary Embolism Detection AI Challenge (https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/). With more than 12,000 CT pulmonary angiography (CTPA) studies contributed by five international research centers, it is the largest publicly available annotated PE dataset. RSNA collaborated with the Society of Thoracic Radiology to recruit more than 80 expert thoracic radiologists who labeled the dataset with detailed clinical annotations.
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 “RSNA-STR Pulmonary Embolism CT (RSPECT) Dataset, Copyright RSNA, 2020” as follows: E Colak, FC Kitamura, SB Hobbs, et al. The RSNA Pulmonary Embolism CT Dataset [10.1148/ryai.2021200254]. Radiology: Artificial Intelligence 2021;3:2.
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 Pulmonary Embolism Detection was accessed on DATE from https://registry.opendata.aws/rsna-pulmonary-embolism-detection.
arn:aws:s3:::pulmonary-embolism-detectionus-west-2