An intelligent multi-modal decision support system for automatic diagnosis of active tuberculosis.


Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing cost, and training new staff. In this project we are interested to investigate the usage of intelligent decision support techniques to automate the diagnosis/detection process of active tuberculosis. Smart tools for medical applications have high importance and increasing market demand.. Smart labs is aiming from this project to develop automatic diagnosis tools for medical applications which is required by a partner company. This project is considered a seed for a line of business in developing smart components for medical field. 

Mostafa Mohamed
Faculty Supervisor: 
Dr. Behrouz Far