A computational modeling for the detection of diabetic retinopathy severity

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Title	A computational modeling for the detection of diabetic retinopathy severity
Authors	Pavan Kumar Mishra¹, Abhijit Sinha¹, Kaveti Ravi Teja¹, Nitin Bhojwani¹, Sagar Sahu¹ & Awanish Kumar²*
Affiliation	¹Department of Information Technology, National Institute of Technology, Raipur, Chhattisgarh, India; ²Department of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh, India
Email	drawanishkr@gmail.com; *Corresponding author
Article Type	Hypothesis
Date	Received June 17, 2014; Revised August 06, 2014; Accepted August 07, 2014; Published September 30, 2014
Abstract	Prolonged diabetes ultimately leads to Diabetic Retinopathy (DR) which is one of the leading causes of preventable blindness in the world. Through advanced image analysis techniques are used for abnormalities detection in retina that define and correlate the severity of DR. A thorough study is done in this area in recent past years and on the basis of these studies we have developed a computer based prediction model that is used to determine the severity of DR. To identify severity DR, we have analyzed the human eye image. We have extracted some important features from human eye image i.e. Blood Artery, Optical disc, Exudates. Based on these image and data we have designed an automated system for the determination of DR severity. This automated DR severity assessment methods can be used to predict the clinical case and conditions when young clinicians would agree or disagree with their more experienced fellow members. The algorithms described in this study may be used in clinical practice to validate or invalidate the diagnoses. Algorithms or method developed here may also be used for pooling diagnostic knowledge for serving mankind. Here we have described a computational based low cost retinal diagnostic approach which can aid an ophthalmologist to quickly diagnose the various stages of DR. This system can accept retinal images and can successfully detect any pathological condition associated with DR.
Keywords	Diabetic retinopathy, fundus, blood vessel, optic disc, exudates, image processing.
Citation	Mishra et al. Bioinformation 10(9): 556-561 (2014)
Edited by	P Kangueane
ISSN	0973-2063
Publisher	Biomedical Informatics
License	This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.