Mohd. Noor, Norliza and Yunus, Ashari and Syed Abu Bakar, Syed Abdul Rahman and Hussin, Amran and Mohd. Rijal, Omar (2010) Applying a statistical PTB detection procedure to complement the gold standard. Computerized Medical Imaging and Graphics, 35 (3). 186 - 194. ISSN 0895-6111
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.compmedimag.2010.10.00...
This paper investigates a novel statistical discrimination procedure to detect PTB when the gold standard requirement is taken into consideration. Archived data were used to establish two groups of patients which are the control and test group. The control group was used to develop the statistical discrimination procedure using four vectors of wavelet coefficients as feature vectors for the detection of pulmonary tuberculosis (PTB), lung cancer (LC), and normal lung (NL). This discrimination procedure was investigated using the test group where the number of sputum positive and sputum negative cases that were correctly classified as PTB cases were noted. The proposed statistical discrimination method is able to detect PTB patients and LC with high true positive fraction. The method is also able to detect PTB patients that are sputum negative and therefore may be used as a complement to the gold standard.
|Uncontrolled Keywords:||Digital chest radiographs; Discrimination; Gold standard; Pulmonary tuberculosis and lung cancer; Statistical graphical method|
|Divisions:||Razak School of Engineering and Advanced Technology|
|Deposited By:||Kamariah Mohamed Jong|
|Deposited On:||04 Mar 2017 07:21|
|Last Modified:||04 Mar 2017 07:24|
Repository Staff Only: item control page