TUBERCULOSIS (TB) CLASSIFICATION IN CHEST RADIOGRAPHS USING DEEP CONVOLUTIONAL NEURAL NETWORKS

The development of a simple CNN architecture, with image augmentation and X-Ray image pre-processing, to classify chest radiographs into TB positive and TB negative classes, achieves accuracy comparable to the performance of human radiologists.