The current version of the MIMIC-CXR Database is v1.0 (22 January, 2019).
This database is described in
Please cite this publication when referencing this material, and also include the standard citation for PhysioNet:
MIMIC-CXR is a large, publicly-available database comprising of de-identified chest radiographs from patients admitted to the Beth Israel Deaconess Medical Center between 2011 and 2016. The dataset contains 371,920 chest x-rays associated with 227,943 imaging studies. Each imaging study can pertain to one or more images, but most often are associated with two images: a frontal view and a lateral view. Images are provided with 14 labels derived from a natural language processing tool applied to the corresponding free-text radiology reports. All images have been de-identified to protect patient privacy. The dataset is made freely available to facilitate and encourage a wide range of research in medical computer vision.
The MIMIC-CXR Database, although de-identified, still contains detailed information regarding the clinical care of patients, and must be treated with appropriate care and respect. Researchers seeking to use the full Clinical Database must formally request access. Please see the instructions for getting access to the MIMIC-III Database - the process is the same for MIMIC-CXR.
Researchers who have received access to MIMIC-CXR can download the data on PhysioNetWorks: MIMIC-CXR Database.
If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.
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Comments and issues can also be raised on PhysioNet's GitHub page.
Updated Thursday, 24 January 2019 at 17:17 EST