MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
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DOI：
10.1038/s41597-019-0322-0
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发表时间：
2019-12-12
期刊：
影响因子：
9.8
通讯作者：
Horng, Steven
中科院分区：
文献类型：
--
作者：
Johnson, Alistair E. W.;Pollard, Tom J.;Horng, Steven
胸部x线摄影是一种非常强大的成像方式，可以对患者的胸部进行详细检查，但需要经过专门培训才能正确解释。随着高性能通用计算机视觉算法的出现，胸部x线片的精确自动分析越来越受到研究人员的关注。在这里，我们描述了MIMIC-CXR，这是一个大型数据集，包含227,835项影像学研究，涵盖2011-2016年间在贝斯以色列女执事医疗中心急诊科就诊的65,379名患者。每个影像学研究可以包含一个或多个图像，通常是正面视图和侧面视图。数据集中共有377,110张图像可用。研究提供半结构化的自由文本放射学报告，该报告描述了图像的放射学发现，由执业放射科医生在常规临床护理期间同时撰写。为保护患者隐私，所有图像和报告都已去识别。该数据集免费提供，以促进和鼓励在计算机视觉，自然语言处理和临床数据挖掘方面的广泛研究。
Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's chest, but requires 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. Here we describe MIMIC-CXR, a large dataset of 227,835 imaging studies for 65,379 patients presenting to the Beth Israel Deaconess Medical Center Emergency Department between 2011-2016. Each imaging study can contain one or more images, usually a frontal view and a lateral view. A total of 377,110 images are available in the dataset. Studies are made available with a semi-structured free-text radiology report that describes the radiological findings of the images, written by a practicing radiologist contemporaneously during routine clinical care. All images and reports have been de-identified to protect patient privacy. The dataset is made freely available to facilitate and encourage a wide range of research in computer vision, natural language processing, and clinical data mining.