Bayesian detection of the fovea in eye fundus angiographies
Pattern Recognition Letters
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
IEEE Transactions on Image Processing
Automatic vessel network features quantification using local vessel pattern operator
Computers in Biology and Medicine
Computer-aided diagnosis of diabetic retinopathy: A review
Computers in Biology and Medicine
Hi-index | 0.00 |
Monitoring FAZ area enlargement enables physicians to monitor progression of the DR. At present, it is difficult to discern the FAZ area and to measure its enlargement in an objective manner using digital fundus images. A semi-automated approach for determination of FAZ using color images has been developed. Here, a binary map of retinal blood vessels is computer generated from the digital fundus image to determine vessel ends and pathologies surrounding FAZ for area analysis. The proposed method is found to achieve accuracies from 66.67% to 98.69% compared to accuracies of 18.13-95.07% obtained by manual segmentation of FAZ regions from digital fundus images.