Technologies

Medical Sciences

Title:

Fundus image based diagnosis and clinical decision support system for early prediction of glaucoma and grading of diabetic retinopathies

Area:

Medical Sciences

Focus Area:

Medical Device, Digital Health

Status:

Proof of Concept

Social Benefits:

Their proposed method will be beneficial in automatic early screening of diseases and prevent blindness. It will not only detect glaucoma and four stages of DR but also reduce examination time and manual errors. The model efficiency will be tested on benchmarks fundus image datasets, ACRIMA, Drishti-GSI, Kaggle and Messidor datasets.

Developing Agency:

Jaypee Institute of Information Technology, Uttar Pradesh

Technology Readiness Index:

TRL-2

Brief Description

Description :

Image-based diagnosis and clinical decision support system is proposed for two very severe ophthalmic diseases glaucoma and diabetic retinopathies DR. Fundus images have very fine blood cells hence it is a challenge to differentiate between healthy and malignant images.

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