The Communications Engineering Branch at the Lister Hill National Center for BiomedicalCommunications, an intramural division of the National Library of Medicine has the following de-identified image data sets of chest x-rays (CXRs) available to the research community. Both sets contain normal as well as abnormal x-rays, with the latter containing manifestations of tuberculosis.The image data sets may be available to researchers upon review of their request.The following image data sets are available:Montgomery County X-ray Set:X-ray images in this data set have been acquired from the tuberculosis control program of the Department of Health and Human Services of Montgomery County, MD, USA. This set contains 138 posterior-anterior x-rays, of which 80 x-rays are normal and 58 x-rays are abnormal with manifestations of tuberculosis. All images are deidentified and available in DICOM format. The set covers a wide range of abnormalities, including effusions and miliary patterns. The data set includes radiology readings available as a text file.Shenzhen Hospital X-ray Set:X-ray images in this data set have been collected by Shenzhen No.3 Hospital in Shenzhen, Guangdong providence, China. The x-rays were acquired as part of the routine care at Shenzhen Hospital. The set contains images in JPEG format. There are 340 normal x-rays and 275 abnormal x-rays showing various manifestations of tuberculosis.Related publications:Jaeger S, Candemir S, Antani S, Wng Y-XJ, Lu P-X, Thoma G. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Quantitative Imaging in Medicine and Surgery 2014;4(6):475-477.Candemir S, et al. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration.IEEE Transactions on Medical Imaging, 2014 Feb; 33(2):577-90. doi: 10.1109/TMI.2013.2290491. PMID: 24239990Jaeger S, et al., Automatic Tuberculosis Screening using Chest Radiographs, IEEE Transactions on MedicalImaging, 2014, Feb; 33(2): 233-245.