*****Tuberculosis(TB) CHEST X-RAY DATABASE

A team of researchers from Qatar University, Doha, Qatar, and the University of Dhaka, Bangladesh along with their collaborators from Malaysia in collaboration with medical doctors from Hamad Medical Corporation and Bangladesh have created a database of chest X-ray images for Tuberculosis (TB) positive cases along with Normal images. In our current release, there are 3500 TB images, and 3500 normal images.

**Tuberculosis(TB) data:
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700 TB data are collected from different publicly accessible dataset. 2800 TB data are collected from NIAID TB portal program dataset by signing an agreement.
-306 CXR images from BELARUS TB portal program dataset[2].
-394 CXR image from NLM [1]
-2800 CXR images are collected from NIAID TB portal program dataset[3]. 

Note: Due to the data-sharing restriction, we have to direct the potential user to NIAID website where you can get data-sharing agreement signing 
option and you can get DICOM images from there easily. 

***Normal images:
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3500 Normal data are collected from from two different dataset.
-406 CXR images are collected from NLM [1]
-3094 CXR images are collected from RSNA [4]


***Please cite the follwoing two articles if you are using this dataset:
Tawsifur Rahman, Amith Khandakar, Muhammad A. Kadir, Khandaker R. Islam, Khandaker F. Islam, Zaid B. Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury. (2020) "Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization". IEEE Access, Vol. 8, pp 191586 - 191601. DOI. 10.1109/ACCESS.2020.3031384.


***Formats
    - All the images are in Portable Network Graphics (PNG) file format and resolution are 512*512 pixels.

***Objective
 -  Researchers can use this database to produce useful and impactful scholarly work on Tuberculosis(TB), which can help in tackling this issue. 


References:
[1] S. Jaeger, S. Candemir, S. Antani, Y.-X. J. Wáng, P.-X. Lu, and G. Thoma, "Two public chest X-ray datasets for computer-aided screening of pulmonary diseases," Quantitative imaging in medicine and surgery, vol. 4 (6), p. 475(2014)
[2] B. P. Health. (2020). BELARUS TUBERCULOSIS PORTAL [Online]. Available: http://tuberculosis.by/. [Accessed on 09-June-2020]
[3] NIAID TB portal program dataset [Online]. Available: https://data.tbportals.niaid.nih.gov/.
[4] kaggle. RSNA Pneumonia Detection Challenge [Online]. Available: https://www.kaggle.com/c/rsna-pneumonia-detection-challenge/data. [Accessed on 09-June-2020]