PNEUMONIA DISEASE DETECTION USING X RAYS

Abstract

This project aims to develop a fully automated system for diagnosis of pneumonia diseases using chest x-rays. The platform will enable its users and professional diagnostic centres to upload their chest radiographs (x-rays) and get accurate predictions based on those. Chest radiography has important clinical value in the diagnosis of diseases. Thus the automatic detection of chest disease based on chest radiography has become a hot topic in medical imaging research. This project has overall two parts : 1.Backend Server - The server will cater the request from the medical diagnosis labs and individual users who do not have access professional consultation for medical diagnosis. The server should be capable of generating report whenever a chest radiograph is uploaded and provide accurate results. 2. Mobile App - This mobile application will serve as a client to the backend server. It will be the primary target for interaction with the users. The user can install this application on their devices and use it to view reports. All these components together will act as a Report Generation Tool from the chest radiographs that ensures accurate results. Apart from the above said components, there will be a machine learning algorithm that will learn from the new x-rays being uploaded thus continuously improving its accuracy.