A Java based low-cost user friendly stand alone as well client-server architecture computer aided system for diagnosis of middle ear pathologies based on a hybrid learning framework using videos captured through digital otoscope with camera
Implementing Organization
Project Overview
The hybrid learning model exploit the ability of CNNs to extract deep features as well as LSTM networks to learn hidden patterns in spatial sequential data i.e., from videos .
Acces sibility Controls