Advanced Computational Intelligence: An International Journal (ACII)

ISSN : 2454 - 3934

http://airccse.org/journal/acii/index.html

Detection of Tuberculosis Using Chest X Ray (CXR)

P. Sahana, T. Saravana Kumar and A. Risvin

Dr.SivanthiAditanar College of Engineering, India

Abstract

Tuberculosis is an airborne disease that affects many organs in the body especially lungs. This disease is caused by a bacteria known as Mycobacterium Tuberculosis. When the bacteria becomes active it affects the body. If the disease is not treated properly a loss of life may occur. A robotic detection of tuberculosis is presented in this paper with the help of patient chest x ray(CXR).The input image is then filtered by Gaussian filter to remove noise and then the lung region gets segmented by using graph cut segmentation. The segmented lung region is partitioned into four lobes. The infected region is then segmented for that region the feature values are calculated. With these values it is classified as normal or abnormal by using Ada boost classifier.

Keywords

CXR,Tuberculosis,AdaBoost,lobes,Classification,Feature extraction. 

pdf link -https://aircconline.com/acii/V3N3/3316acii04.pdf