NDLI: Blood vessels segmentation with GUI in digital fundus images for automated detection of diabetic retinopathy

Content Provider	IEEE Xplore Digital Library
Author	Devaraj, Deepashree Prasanna Kumar, S.C.
Copyright Year	2014
Description	Author affiliation: I.T Department, R.V.C.E., Bangalore-560059, India (Devaraj, Deepashree; Prasanna Kumar, S.C.)
Abstract	Diabetic retinopathy (DR) is the retinal disease caused by diabetes that involves damage to the small blood vessels in the posterior of the eye. Early stage of DR may not cause symptoms. But the progression of the disease leads to the proliferative stage. This causes leakage of protein and blood in the retina. Blood vessel segmentation is a helpful tool in the treatment of diabetic retinopathy. Many studies have been carried out in the last decade in order to derive an accurate blood vessel detection and segmentation in retinal images because vascular anomalies are one of the strongest signs of DR. An user friendly graphical user interface (GUI) which is MATLAB based that segments the blood vessels by means of adaptive median thresholding is proposed in this paper. From the segmented image, various features of blood vessels like area, mean, standard deviation, energy, entropy and histogram are calculated, in order to distinguish the image as normal or abnormal. With respect to the ground truth, performance measures like accuracy, specificity and sensitivity are calculated. The GUI is implemented using MATLAB and the feature parameters are calculated. The average accuracy, specificity and sensitivity were found to be 0.95, 0.99 and 0.77 respectively for drive images using Adaptive median thresholding.
Starting Page	915
Ending Page	920
File Size	3203526
Page Count	6
File Format	PDF
ISBN	9781479966295
DOI	10.1109/IC3I.2014.7019668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Retinopathy Field of view (FOV) Diabetic retinopathy (DR) Blood vessels Retina Proliferative diabetic retinopathy (PDR) Neovascularisation Fundus image Image segmentation Exudates Micro-aneurysms Graphical user interface (GUI) Diabetes Nonproliferative diabetic retinopathy (NPDR) Haemorrhages Biomedical imaging Graphical user interfaces
Content Type	Text
Resource Type	Article

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