NDLI: Detection of high-risk macular edema using texture features and classification using SVM classifier

Content Provider	IEEE Xplore Digital Library
Author	Kunwar, A. Magotra, S. Sarathi, M.P.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Amity Univ., Noida, India (Kunwar, A.; Magotra, S.; Sarathi, M.P.)
Abstract	In digital retinal images, positive means of texture feature detection around the macula region with specified radius is still an open issue. Diabetic macular edema is a complication caused due to Diabetic Retinopathy (DR) and is the true cause of blindness and visual loss. In this paper, we have presented a computerized method for texture feature extraction around the specified radius taking macula as the centre. By proper segmentation techniques, the region of 1DD (Disc Diameter) around the macula centre, was extracted out. The extracted region contained a great amount of abnormalities like micro-aneurysms, hard-exudates and hemorrhages, thereby texture features varied greatly. Unlike other well-known approaches of machine learning classifier techniques, we propose a combination of texture feature extraction from the region of interest around macula and grading using Support Vector Machine (SVM) classifier. The segmented region containing abnormalities differ greatly in texture and a promising “accuracy > 86%” was obtained between the “normal” and “abnormal” type classification. The performance evaluation of the automated system was determined by parameters, namely Sensitivity, Specificity and Accuracy with values obtained about 91%, 75% & 86 % respectively.
Starting Page	2285
Ending Page	2289
File Size	373296
Page Count	5
File Format	PDF
ISBN	9781479987900
e-ISBN	9781479987924
DOI	10.1109/ICACCI.2015.7275958
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Optical filters Accuracy Feature extraction Optical imaging Macular Edema Diabetes Support Vector Machine
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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