Identification of The Tuberculosis (TB) Disease Based on XRay Images Using Probabilistic Neural Network (PNN)

Abstract

Tuberculosis is an airborne contagious disease caused by the Bacterium Mycobacterium Tuberculosis which means major threat to global health. If Tuberculosis is not treated promptly and quickly, it will cause the disease to get worse. For that, the treatment should not be done carelessly. Therefore, a system is needed to identify the Tuberculosis diseases to help the doctors as an early stage in diagnosing the disease. In this research, Probabilistic Neural Network (PNN) method was used to identify the presence of Tuberculosis by system to help the doctor to make the decision. The stages before doing an identification such as the image acquisition, pre-processing, and feature extractions using Invariant Moment. This study was conducted using train data of 105 normal X-Ray images and 105 images of pulmonary Tuberculosis X-Rays. For the testing data used of 50 X-Ray images. The results showed that the proposed method was able to identify the Tuberculosis disease with an accuracy of 96%.