
Overview
The STOIC project collected Computed Tomography (CT) images of 10,735 individuals suspected of being infected with SARS-COV-2 during the first wave of the pandemic in France, from March to April 2020. For each patient in the training set, the dataset contains binary labels for COVID-19 presence, based on RT-PCR test results, and COVID-19 severity, defined as intubation or death within one month from the acquisition of the CT scan. This S3 bucket contains the training sample of the STOIC dataset as used in the STOIC2021 challenge on grand-challenge.org.
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Open Data Sponsorship Program
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This is a publicly available data set. No subscription is required.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- The data set contains 2000 CT scans stored as compressed .mha files. Each file corresponds to a unique patient. the reference.csv file contains the reference labels for COVID-19 presence and severity, indexed by patient ID.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::stoic2021-training
- AWS region
- us-west-2
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://stoic2021-training/
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Managed By
Radboud University Medical Center
How to cite
STOIC2021 Training was accessed on DATE from https://registry.opendata.aws/stoic2021-training .
License
CC-BY-NC 4.0