title: Detection of neovascularization in retinal images using multivariate m-Mediods based classifier.
abstract: Diabetic retinopathy is a progressive eye disease and one of the leading causes of blindness all over the world. New blood vessels (neovascularization) start growing at advance stage of diabetic retinopathy known as proliferative diabetic retinopathy. Early and accurate detection of proliferative diabetic retinopathy is very important and crucial for protection of patient's vision. Automated systems for detection of proliferative diabetic retinopathy should identify between normal and abnormal vessels present in digital retinal image. In this paper, we proposed a new method for detection of abnormal blood vessels and grading of proliferative diabetic retinopathy using multivariate m-Mediods based classifier. The system extracts the vascular pattern and optic disc using a multilayered thresholding technique and Hough transform respectively. It grades the fundus image in different categories of proliferative diabetic retinopathy using classification and optic disc coordinates. The proposed method is evaluated using publicly available retinal image databases and results show that the proposed system detects and grades proliferative diabetic retinopathy with high accuracy.
authors.affiliation: Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences & Technology, Pakistan. Electronic address: usmakram@gmail.com.
authors.forename: M
authors.initials: M
authors.lastname: Usman Akram
authors.forename: Shehzad
authors.initials: S
authors.lastname: Khalid
authors.forename: Anam
authors.initials: A
authors.lastname: Tariq
authors.forename: M
authors.initials: M
authors.lastname: Younus Javed
mesh_terms: D000465:Algorithms; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015861:Retinal Neovascularization / Q000145:classification / Q000175:diagnosis* / Q000209:etiology
keywords: Blood vessels; Mediods; Neovascularization; Proliferative diabetic retinopathy; Retinal image analysis