Montgomery County X-ray Set

NLM-MontgomeryCXRSet.zip 616.85MB
Type: Dataset
Tags: radiology

Metadata:
@article{,
title= {Montgomery County X-ray Set},
keywords= {radiology},
author= {},
abstract= {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 de-identified 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.



https://i.imgur.com/JhQU2S5.png

Left Lung (Right lung segmentation also exists)

https://i.imgur.com/72dmGdB.png

## Citation

Candemir S, Jaeger S, Musco J, Xue Z, Karargyris A, Antani SK, Thoma GR, Palaniappan K. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans Med Imaging. 2014 Feb;33(2):577-90. doi: 10.1109/TMI.2013.2290491. PMID: 24239990

Jaeger S, Karargyris A, Candemir S, Folio L, Siegelman J, Callaghan FM, Xue Z, Palaniappan K, Singh RK, Antani SK. Automatic tuberculosis screening using chest radiographs. IEEE Trans Med Imaging. 2014 Feb;33(2):233-45. doi: 10.1109/TMI.2013.2284099. PMID: 24108713},
terms= {},
license= {},
superseded= {},
url= {https://ceb.nlm.nih.gov/repositories/tuberculosis-chest-x-ray-image-data-sets/}
}

Citation:
Montgomery County X-ray Set. (2019). [Data set]. Academic Torrents. https://academictorrents.com/details/ac786f74878a5775c81d490b23842fd4736bfe33

Send Feedback Start
   0.000008
DB Connect
   0.000554
Lookup hash in DB
   0.000457
Get torrent details
   0.000157
Get torrent details, finished
   0.000257
Get authors
   0.000001
Select authors
   0.000177
Parse bibtex
   0.000198
Write header
   0.000310
get stars
   0.000125
home tab
   0.000180
render right panel
   0.000006
render ads
   0.000655
fetch current hosters
   0.004377
related datasets
   0.008308
Done