Advances in automatic tuberculosis detection in chest x-ray images

Nyein Naing, Wai Yan and Htike@Muhammad Yusof, Zaw Zaw (2014) Advances in automatic tuberculosis detection in chest x-ray images. Signal & Image Processing : An International Journal (SIPIJ), 5 (6). pp. 41-53. ISSN 2229-3922

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Abstract

Tuberculosis (TB) is very dangerous and rapidly spread disease in the world. In the investigating cases for suspected tuberculosis (TB), chest radiography is not only the key techniques of diagnosis based on the medical imaging but also the diagnostic radiology. So, Computer aided diagnosis (CAD) has been popular and many researchers are interested in this research areas and different approaches have been proposed for the TB detection and lung decease classification. In this paper, the medical background history of TB decease in chest X-rays and a survey of the various approaches in TB detection and classification are presented. The literature in the related methods is surveyed papers in this research area until now 2014.

Item Type:	Article (Journal)
Additional Information:	6919/ 43046
Uncontrolled Keywords:	CAD, Tuberculosis, Image processing, Radiographs
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ266 Turbines. Turbomachines (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Mr. Zaw Zaw Htike
Date Deposited:	25 May 2015 11:13
Last Modified:	24 May 2018 11:55
URI:	http://irep.iium.edu.my/id/eprint/43046

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