title: An improved medical decision support system to identify the diabetic retinopathy using fundus images.
abstract: An improved Computer Aided Clinical Decision Support System has been developed to classify the retinal images using Neural Network and presented in this paper. The Optic Disc Parameters, thickness of the blood vessels, main vessel, and branch vessel and vein diameter have been extracted. Various types of Neural Network have been used for classification. The percentage of False Acceptance Rate and False Rejection Rate of the SVM classifier is found less than other classifiers. The accuracy of the proposed system has been verified and found to be 97.47%.
authors.affiliation: Department of ECE, The Rajaas Engineering College, Vadakkankulam 627116, India. sjeraldjebakumar@rediffmail.com
authors.forename: S Jerald Jeba
authors.initials: SJ
authors.lastname: Kumar
authors.forename: M
authors.initials: M
authors.lastname: Madheswaran
mesh_terms: D000328:Adult; D000368:Aged; D020000:Decision Support Systems, Clinical / Q000592:standards*; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D005260:Female; D005654:Fundus Oculi; D006801:Humans; D008297:Male; D008875:Middle Aged; D058996:Quality Improvement; D012171:Retinal Vessels; D041623:Tomography, Optical Coherence