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MIMIC-CXR-JPG - chest radiographs with structured labels

Year: 2019
Type: dataset
Abstract: The MIMIC Chest X-ray JPG (MIMIC-CXR-JPG) Database v2.0.0 is a large publicly available dataset of chest radiographs in JPG format with structured labels derived from free-text radiology reports. The MIMIC-CXR-JPG dataset is wholly derived from [MIMIC-CXR](/content/mimic-cxr/), providing JPG format files derived from the DICOM images and structured labels derived from the free-text reports. The aim of MIMIC-CXR-JPG is to provide a convenient processed version of MIMIC-CXR, as well as to provide a standard reference for data splits and image labels. The dataset contains 377,110 JPG format images and structured labels derived from the 227,827 free-text radiology reports associated with these images. The dataset is de-identified to satisfy the US Health Insurance Portability and Accountability Act of 1996 (HIPAA) Safe Harbor requirements. Protected health information (PHI) has been removed. The dataset is intended to support a wide body of research in medicine including image understanding, natural language processing, and decision support.
Source: PhysioNet
DOI: 10.13026/th9c-ae10
Authors: Johnson, Alistair, Lungren, Matt, Peng, Yifan, Lu, Zhiyong, Mark, Roger, Berkowitz, Seth, Horng, Steven
Institutions: Massachusetts Institute of Technology, Stanford Medicine, Stanford University, National Institutes of Health, United States National Library of Medicine, National Center for Biotechnology Information, Beth Israel Deaconess Medical Center, Harvard University
Language: English
Field: Medicine
Open Access status: green
OpenAlex ID: W6941497511
Cites:
Cited by: 88
Related to: 10