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

Acces sibility Controls

Implementing Organization

About

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 .

Patents

Outcome / Output

The proposed system be used by general practitioners, otolaryngology specialist or healthcare professionals to provide them a second objective opinion about diagnosis of middle ear pathologies, help them to make more accurate diagnosis using a low-cost system based on a hybrid learning framework.

Source

Source URL

technologies/java-based-low-cost-user-friendly-stand-alone-well-client-server-architecture-computer-aided-system

Related Research

View All

Quick Information

Thrust Areas

Medical Sciences

Focus Area

Healthcare, Digital Health

Sanction Amount

₹ NA

Status

Proof of concept

Acces sibility Controls

Medical Sciences