Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Sign in
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

RSNA Abdominal Trauma Detection (RSNA-ABT)

Provided by: Radiological Society of North America (https://www.rsna.org/ ), part of the AWS Open Data Sponsorship Program

RSNA Abdominal Trauma Detection (RSNA-ABT)

Provided by: Radiological Society of North America (https://www.rsna.org/ ), part of the AWS Open Data Sponsorship Program

This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.

Description

Blunt force abdominal trauma is among the most common types of traumatic injury, with the most frequent cause being motor vehicle accidents. Abdominal trauma may result in damage and internal bleeding of the internal organs, including the liver, spleen, kidneys, and bowel. Detection and classification of injuries are key to effective treatment and favorable outcomes. A large proportion of patients with abdominal trauma require urgent surgery. Abdominal trauma often cannot be diagnosed clinically by physical exam, patient symptoms, or laboratory tests. Prompt diagnosis of abdominal trauma using medical imaging is thus critical to patient care. AI tools that assist and expedite diagnosis of abdominal trauma have the potential to substantially improve patient care and health outcomes in the emergency setting. To create the ground truth dataset, RSNA collected imaging data sourced from 23 sites in 14 countries on six continents, including more than 4,000 CT exams with various abdominal injuries and a roughly equal number of cases without injury.

License

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.

How to cite

RSNA Abdominal Trauma Detection (RSNA-ABT) was accessed on DATE from https://registry.opendata.aws/rsna-abdominal-trauma-detection .

Update frequency
The dataset may be updated with additional or corrected data on a need-to-update basis.
Support information

Managed by: Radiological Society of North America (https://www.rsna.org/ )

Contact: informatics@rsna.org

General AWS Data Exchange support

Resources on AWS

Description

Zip archive containing DCM and CSV files

Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::abdominal-trauma-detection
AWS Region
us-west-2

Usage examples