MIMIC-CXR-JPG, A Large Publicly Available Database Of Labeled ...

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I Understand Computer Science > Computer Vision and Pattern Recognition arXiv:1901.07042 (cs) [Submitted on 21 Jan 2019 (v1), last revised 14 Nov 2019 (this version, v5)] Title:MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Authors:Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, Steven Horng View a PDF of the paper titled MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs, by Alistair E. W. Johnson and 9 other authors View PDF

Abstract:Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's thorax, but requiring specialized training for proper interpretation. With the advent of high performance general purpose computer vision algorithms, the accurate automated analysis of chest radiographs is becoming increasingly of interest to researchers. However, a key challenge in the development of these techniques is the lack of sufficient data. Here we describe MIMIC-CXR-JPG v2.0.0, a large dataset of 377,110 chest x-rays associated with 227,827 imaging studies sourced from the Beth Israel Deaconess Medical Center between 2011 - 2016. Images are provided with 14 labels derived from two natural language processing tools applied to the corresponding free-text radiology reports. MIMIC-CXR-JPG is derived entirely from the MIMIC-CXR database, and aims to provide a convenient processed version of MIMIC-CXR, as well as to provide a standard reference for data splits and image labels. 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.

Subjects:	Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV)
Cite as:	arXiv:1901.07042 [cs.CV]
(or arXiv:1901.07042v5 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.1901.07042 Focus to learn more arXiv-issued DOI via DataCite

Submission history

From: Alistair Johnson [view email] [v1] Mon, 21 Jan 2019 19:01:00 UTC (383 KB) [v2] Wed, 23 Jan 2019 03:57:01 UTC (383 KB) [v3] Tue, 12 Nov 2019 17:06:27 UTC (135 KB) [v4] Wed, 13 Nov 2019 14:46:18 UTC (136 KB) [v5] Thu, 14 Nov 2019 17:34:51 UTC (135 KB) Full-text links:

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