Mohd. Noor, Noorliza and Mohd. Rijal, Omar and Yunus, Ashari and Syed Abu Bakar, Syed Abdul Rahman (2010) A discrimination method for the detection of pneumonia using chest radiograph. Computerized Medical Imaging and Graphics, 34 (2). 160 - 166. ISSN 0895-6111
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Official URL: http://dx.doi.org/10.1016/j.compmedimag.2009.08.00...
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 Q2. 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.
|Uncontrolled Keywords:||Detection; Digital chest X-ray; Discriminant analysis; Pneumonia; Principal component analysis (PCA); Texture measures|
|Divisions:||Razak School of Engineering and Advanced Technology|
|Deposited By:||Kamariah Mohamed Jong|
|Deposited On:||04 Mar 2017 07:10|
|Last Modified:||04 Mar 2017 07:10|
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