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

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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 .

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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.

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

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Thrust Areas

Medical Sciences

Focus Area

Healthcare, Digital Health

Sanction Amount

₹ NA

Status

Proof of concept

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