AI Article Synopsis
- Monitoring the enlargement of the FAZ area helps doctors track the progression of diabetic retinopathy (DR).
- A semi-automated method has been created to identify and measure the FAZ area in color digital fundus images, improving objective analysis.
- This new method shows significantly higher accuracy (66.67% to 98.69%) than manual techniques (18.13% to 95.07%) used for segmenting FAZ regions.
Article Abstract
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.
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| http://dx.doi.org/10.1016/j.compbiomed.2010.05.004 | DOI Listing |
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