Advances in automatic tuberculosis detection in chest x-ray images

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 dia...

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Main Authors: Nyein Naing, Wai Yan, Htike@Muhammad Yusof, Zaw Zaw
Format: Article
Language:English
Published: AIRCC Publishing Corporation 2014
Subjects:
Online Access:http://irep.iium.edu.my/43046/
http://irep.iium.edu.my/43046/
http://irep.iium.edu.my/43046/1/5614sipij04.pdf
id iium-43046
recordtype eprints
spelling iium-430462018-05-24T03:55:33Z http://irep.iium.edu.my/43046/ Advances in automatic tuberculosis detection in chest x-ray images Nyein Naing, Wai Yan Htike@Muhammad Yusof, Zaw Zaw TJ Mechanical engineering and machinery TJ266 Turbines. Turbomachines (General) 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. AIRCC Publishing Corporation 2014-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43046/1/5614sipij04.pdf 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 http://airccse.org/journal/sipij/index.html
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
TJ266 Turbines. Turbomachines (General)
spellingShingle TJ Mechanical engineering and machinery
TJ266 Turbines. Turbomachines (General)
Nyein Naing, Wai Yan
Htike@Muhammad Yusof, Zaw Zaw
Advances in automatic tuberculosis detection in chest x-ray images
description 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.
format Article
author Nyein Naing, Wai Yan
Htike@Muhammad Yusof, Zaw Zaw
author_facet Nyein Naing, Wai Yan
Htike@Muhammad Yusof, Zaw Zaw
author_sort Nyein Naing, Wai Yan
title Advances in automatic tuberculosis detection in chest x-ray images
title_short Advances in automatic tuberculosis detection in chest x-ray images
title_full Advances in automatic tuberculosis detection in chest x-ray images
title_fullStr Advances in automatic tuberculosis detection in chest x-ray images
title_full_unstemmed Advances in automatic tuberculosis detection in chest x-ray images
title_sort advances in automatic tuberculosis detection in chest x-ray images
publisher AIRCC Publishing Corporation
publishDate 2014
url http://irep.iium.edu.my/43046/
http://irep.iium.edu.my/43046/
http://irep.iium.edu.my/43046/1/5614sipij04.pdf
first_indexed 2023-09-18T21:01:18Z
last_indexed 2023-09-18T21:01:18Z
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