Low cost smart screening system for sight threatening eye disease: diabetic retinopathy

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/1093682

Funding Status
Closed

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Funded Activity Summary

The aim of the project is to develop an automated disease grading and clinical decision support system for diabetic retinopathy (DR) to perform eye screening by primary care providers and nurses. The grading system will automatically extract DR pathology from a patient’s color fundus images by image processing, feature detection and machine learning algorithms. Based on the detected information, the system can classify the patient as non symptom or a specific disease level.

Funded Activity Details

Start Date: 01-01-2015

End Date: 01-01-2017

Funding Scheme: Development Grants

Funding Amount: $529,079.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Ophthalmology

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

clinical decision making | diabetic retinopathy | eye disease | image analysis | telemedicine

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