Abnormality Detection of TB using Instance Learned Classifier on Lung CT Images

Tuberculosis is one of the serious health threatening disease which is more ubiquitous in African countries. According to World Health Organization[1], it is the second leading cause of death from an infection after HIV and 10.4 million cases of TB and 1.3 million deaths were reported worldwide in 2017 based on the estimates of Centre for Disease Control and Prevention (CDC). This paper presents abnormality detection of TB using an instance based learning classifier known as the KNN classifier an SVM classifier. If input image classified as abnormal then abnormal region is extracted using the segmentation. The system has been tested on the number of lung CT scan images.