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A discrimination method for the detection of pneumonia using chest radiograph

This paper presents a statistical method for the detection of lobar pneumonia when using digitized chest X-ray films. Each region of interest was represented by a vector of wavelet texture measures which is then multiplied by the orthogonal matrix Q(2). The first two elements of the transformed vect...

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Main Authors: Noor, N.M., Rijal, O.M., Yunus, A., Abu-Bakar, S.A.R.
Format: Article
Published: Elsevier 2010
Subjects:
Q Science (General)
R Medicine
Online Access:http://eprints.um.edu.my/15121/
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spelling my.um.eprints.151212015-12-21T08:00:52Z http://eprints.um.edu.my/15121/ A discrimination method for the detection of pneumonia using chest radiograph Noor, N.M. Rijal, O.M. Yunus, A. Abu-Bakar, S.A.R. Q Science (General) R Medicine This paper presents a statistical method for the detection of lobar pneumonia when using digitized chest X-ray films. Each region of interest was represented by a vector of wavelet texture measures which is then multiplied by the orthogonal matrix Q(2). The first two elements of the transformed vectors were shown to have a bivariate normal distribution. Misclassification probabilities were estimated using probability ellipsoids and discriminant functions. The result of this study recommends the detection of pneumonia by constructing probability ellipsoids or discriminant function using maximum energy and maximum column sum energy texture measures where misclassification probabilities were less than 0.15. (C) 2009 Elsevier Ltd. All rights reserved. Elsevier 2010 Article PeerReviewed Noor, N.M. and Rijal, O.M. and Yunus, A. and Abu-Bakar, S.A.R. (2010) A discrimination method for the detection of pneumonia using chest radiograph. Computerized Medical Imaging and Graphics, 34 (2). pp. 160-166.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
R Medicine
spellingShingle Q Science (General)
R Medicine
Noor, N.M.
Rijal, O.M.
Yunus, A.
Abu-Bakar, S.A.R.
A discrimination method for the detection of pneumonia using chest radiograph
description This paper presents a statistical method for the detection of lobar pneumonia when using digitized chest X-ray films. Each region of interest was represented by a vector of wavelet texture measures which is then multiplied by the orthogonal matrix Q(2). The first two elements of the transformed vectors were shown to have a bivariate normal distribution. Misclassification probabilities were estimated using probability ellipsoids and discriminant functions. The result of this study recommends the detection of pneumonia by constructing probability ellipsoids or discriminant function using maximum energy and maximum column sum energy texture measures where misclassification probabilities were less than 0.15. (C) 2009 Elsevier Ltd. All rights reserved.
format Article
author Noor, N.M.
Rijal, O.M.
Yunus, A.
Abu-Bakar, S.A.R.
author_facet Noor, N.M.
Rijal, O.M.
Yunus, A.
Abu-Bakar, S.A.R.
author_sort Noor, N.M.
title A discrimination method for the detection of pneumonia using chest radiograph
title_short A discrimination method for the detection of pneumonia using chest radiograph
title_full A discrimination method for the detection of pneumonia using chest radiograph
title_fullStr A discrimination method for the detection of pneumonia using chest radiograph
title_full_unstemmed A discrimination method for the detection of pneumonia using chest radiograph
title_sort discrimination method for the detection of pneumonia using chest radiograph
publisher Elsevier
publishDate 2010
url http://eprints.um.edu.my/15121/
_version_ 1643689986105540608
score 13.160551

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