Hard exudates referral system in eye fundus utilizing speeded up robust features | Zendy

Syed Ali Naqvi | Zendy; Hafiz Muhammad Faisal Zafar | Zendy; Ihsan Ul Haq | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Hard exudates referral system in eye fundus utilizing speeded up robust features

Author(s) -

Syed Ali Naqvi,

Hafiz Muhammad Faisal Zafar,

Ihsan Ul Haq

Publication year - 2017

Publication title -

international journal of ophthalmology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.634

H-Index - 29

eISSN - 2227-4898

pISSN - 2222-3959

DOI - 10.18240/ijo.2017.07.24

Subject(s) - medicine , referral , fundus (uterus) , optometry , cluster analysis , diabetic retinopathy , artificial intelligence , test (biology) , fundus camera , ophthalmology , family medicine , computer science , diabetes mellitus , ophthalmoscopy , retinal , paleontology , biology , endocrinology

In the paper a referral system to assist the medical experts in the screening/referral of diabetic retinopathy is suggested. The system has been developed by a sequential use of different existing mathematical techniques. These techniques involve speeded up robust features (SURF), K-means clustering and visual dictionaries (VD). Three databases are mixed to test the working of the system when the sources are dissimilar. When experiments were performed an area under the curve (AUC) of 0.9343 was attained. The results acquired from the system are promising.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research