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MIMIC-CXR

A large publicly available database of labeled chest radiographs

MIMIC-CXR

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.

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Task
Image Classification
Annotation Types
Classification Tags
227943
Items
65079
Classes
371920
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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