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 |