Chest X-Ray Pulmonary Tuberculosis Detection System

The global health problem of Tuberculosis impacts public health centers primarily in regions where resources are limited. Proficient radiologists currently play the key role in identifying Pulmonary Tuberculosis (PTB) within chest X-ray images. The proposed system implements deep learning through Convolutional Neural Networks (CNNs) to develop an automated tuberculosis detection system that delivers accurate results. The application functions as an Android program that lets users add X-ray images through an intuitive interface while it analyzes symptoms to show diagnostic assessments. For optimal patient care the system incorporates features to prevent diseases through education and it provides doctor reminder services and symptom diagnosis capabilities to support healthcare professionals. The suggested system intends to resolve time-sensitive TB diagnosis problems by providing a flexible and accessible diagnostic solution for both medical staff and patients.