Hard exudates referral system in eye fundus utilizing speeded up robust features
Related Experiment Video
Updated: Feb 26, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
Published on: March 11, 2016
Syed Ali Gohar Naqvi1, Hafiz Muhammad Faisal Zafar1, Ihsanul Haq1
1International Islamic University (IIUI), H-10, Islamabad, Pakistan.
Abstract:
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.
More Related Videos
10:14Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
Published on: May 26, 2023
08:13In Vivo Confocal Microscopy in the Diagnosis and Management of Dry Eye: A Focus on Imaging Protocols and Interpretation
Published on: November 11, 2025