Low cost smart screening system for sight threatening eye disease: diabetic retinopathy [ 2015 - 2017 ]

Research Grant

Researchers: Prof Yogesan Kanagasingam (Principal investigator) ,  Dr Di Xiao

Brief description 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.

Funding Amount $AUD 529,079.41

Funding Scheme Development Grants

Notes Development Grant