CAD-based automatic detection of tuberculosis in chest radiography using hybrid method
by M. Mercy Theresa; A. Jesudoss; P. Pattunnarajam; Sudha Rajesh; Jaanaa Rubavathy; A. Raja
International Journal of Engineering Systems Modelling and Simulation (IJESMS), Vol. 14, No. 4, 2023

Abstract: Automated processes are essential in medical imaging to identify anomalies. This study uses chest radiography (CXR) for CAD analysis, which is indicated for about 90% of TB patients. Even when it is cost effective, certain reasons are difficult to pinpoint. Using a deformable active contour model, the first phase involves inputting CXR lung field segmentation and identifying highlights within the segmented lung region, along with TB detection calculations. The algorithm's segmentation output is evaluated using two parameters. Moving on to the second phase, features are extracted and optimised using a hybrid multiresolution approach. Various transform coefficients were statistically analysed to obtain a feature collection. The final stage is to classify lung anomalies using MSVM and KNN for three publicly available datasets. The classification performance of the JSRT, Montgomery, and Shenzhen datasets is assessed. The recommended method identifies pulmonary TB 96.5% of the time.

Online publication date: Fri, 06-Oct-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Engineering Systems Modelling and Simulation (IJESMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com