Title: MIMIC-CXR: A large publicly available database of labeled chest radiographs,
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, a large dataset of 371,920 chest x-rays
associated with 227,943 imaging studies sourced from the Beth Israel Deaconess
Medical Center between 2011 - 2016. 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.