Diagnosis of Tuberculosis Using Deep Learning Models

Abstract

Numerous people in the world are affected by TB disease every year Due to huge amount of medicalbased images interpretation is also very tough Traditionally TB disease was identified using the bacteriological test At the same time traditional methods testing expenses are also too high Due to the development of information technology Artificial Intelligence models are applied to various medical applications Deep Learning is one of the subsets of AI models In this paper three DL models such as CNN ANN and RNN are offered for identifying Tuberculosis disease The suggested models are tested with the public image dataset and among the three models RNN produces a better result based on variousterms like Accuracy Sensitivity and Specificity The proposed work is implemented using MATLAB tool