Pair-wise discrimination of some lung diseases using chest radiography

Author

Noor, Norliza Mohd ; Rijal, Omar Mohd ; Yunus, Ashari ; Mahayiddin, Aziah A. ; Gan Chew Peng ; Ong Ee Ling ; Abu Bakar, S.A.R.

Author_Institution

Razak Sch. of Eng. & Adv. Technol., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia

fYear

2014

fDate

14-16 April 2014

Firstpage

151

Lastpage

156

Abstract

This study attempted to discriminate three types of lung disease pair-wise, namely lobar pneumonia (PNEU), pulmonary tuberculosis (PTB) and lung cancer (LC) using chest radiograph. A modified principal component method applied to wavelet texture measures yielded feature vectors for the pair-wise statistical discrimination procedure. The combination of mean of energy and maximum value texture measures gave good pairwise discrimination rate and classification rate for PNEU-PTB, PNEU-LC and PTB-LC. The result if this study is very promising and further work are needed for verification and validation study with larger sample size.

Keywords

cancer; diagnostic radiography; digital instrumentation; diseases; lung; principal component analysis; LC disease; PNEU disease; PNEU-LC classification rate; PNEU-LC pairwise discrimination rate; PNEU-PTB classification rate; PNEU-PTB pairwise discrimination rate; PTB disease; PTB-LC classification rate; PTB-LC pairwise discrimination rate; chest radiography; lobar pneumonia-lung cancer classification rate; lobar pneumonia-lung cancer pairwise discrimination rate; lobar pneumonia-pulmonary tuberculosis classification rate; lobar pneumonia-pulmonary tuberculosis pairwise discrimination rate; lung disease discrimination procedure; lung disease type; maximum value texture measures; mean of energy; modified principal component method; pair-wise lung disease discrimination; pair-wise statistical discrimination procedure; pulmonary tuberculosis-lung cancer classification rate; pulmonary tuberculosis-lung cancer pairwise discrimination rate; wavelet texture-applied principal component method; wavelet texture-measured feature vector; yield feature vector; Cancer; Diagnostic radiography; Diseases; Energy measurement; Lungs; Sociology; Statistics; Digital chest radiographs;statistical discrimination; lung cancer; pneumonia; pulmonary tuberculosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Region 10 Symposium, 2014 IEEE

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-2028-0

Type

conf

DOI

10.1109/TENCONSpring.2014.6863015

Filename

6863015