An adaptive threshold based image processing technique for improved glaucoma detection and classification. Issue 2 (November 2015)

• Record Type: Journal Article
• Authors: Issac, Ashish; Partha Sarathi, M.; Dutta, Malay Kishore
• Is Part Of: Computer methods and programs in biomedicine. Volume 122:Issue 2(2015)
• Page Start: 229
• Page End: 244
• Publication Date: 2015-11
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.08.002
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">The optic nerve head region is analyzed for glaucoma diagnosis.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">Adaptive threshold based segmentation of optic disc and cup is implemented.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">CDR, NRR and blood vessel area as per ISNT rule are selected as features.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">An accuracy of 94.11% with sensitivity of 100% is achieved using SVM classifier.</p> </list-item> </list> </p> </sec> </abstract>