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نمایش تعداد 1-10 از 61
Retinal Image Quality Assessment Using Shearlet Transform
for mass screening of diabetic retinopathy. The resulting retinal images must
be examined by an expert human grader in a cumbersome and time-consuming
diagnosis process. Automated analysis and diagnosis has the potential to reduce...
A Novel Curvature Based Algorithm for Automatic Grading of Retinal Blood Vessel Tortuosity
Tortuosity of retinal blood vessels is an improtant symptom of diabetic retinopathy or retinopathy of prematurity.In this paper, we propose an automatic image based method for measuring single vessel and vessel network ...
A feasibility study on detection of Neovascularization in retinal color images using texture
detection in the color images of retina is considered. Previous researches in the analysis of retinal images either ignore such complex lesion or in few cases approach it superficially and pose many limitations. Obtaining a complete vessel map...
Vessel detection in retinal images using Radon transform and genetic algorithm
We propose a novel algorithm for vessel detection in
retinal images. The proposed algorithm incorporates Radon
Transform(RT) and Genetic Algorithm(GA) to detect vessels. We use
RT because vessels could be approximated accurately...
Fully automated diabetic retinopathy screening using morphologicalcomponent analysis
. Besides, automation of this process can significantly reduce thework of ophthalmologists and alleviate inter and intra observer variability. This paper provides a fullyautomated diabetic retinopathy screening system with the ability of retinal image...
Retinal Image Quality Assessment Using Shearlet Transform
In the context of eye-related diseases such as diabetic retinopathy (DR), retinal image quality assessment is used for evaluating the quality of an image based on its usefulness in detecting a certain condition or disease. Since poor quality retinal...
Automated characterization of blood vessels as arteries and veins in retinal images
of color and non-uniform illumination
inter and intra retinal images. In this paper a novel structural and automated method is presented for
artery/vein classification of blood vessels in retinal images. The proposed method consists of three...