Inception-based Deep Learning Architecture for Tuberculosis ... CNN architecture is proposed in this work to solve the problem. Two benchmark CXR datasets have been used in this work, collected from ...

The goal of this project is to build a machine learning model using Keras for predicting the presence of tuberculosis (TB) from chest X-ray images. Additionally, the project provides model ...

In this paper, we present a potential method for tuberculosis detection using deep-learning which classifies CXR images into two categories, that is, normal and abnormal. We have used CNN architecture ...

The R-CNN deep learning model Above: R-CNN architecture. The Region-based Convolutional Neural Network (R-CNN) was proposed by AI researchers at the University of California, Berkley, in 2014.