title: Computer-aided diagnosis of diabetic retinopathy: a review.
abstract: Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis.
authors.affiliation: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489 Singapore. Electronic address: mkm2@np.edu.sg.
authors.forename: Muthu Rama Krishnan
authors.initials: MR
authors.lastname: Mookiah
authors.forename: U Rajendra
authors.initials: UR
authors.lastname: Acharya
authors.forename: Chua Kuang
authors.initials: CK
authors.lastname: Chua
authors.forename: Choo Min
authors.initials: CM
authors.lastname: Lim
authors.forename: E Y K
authors.initials: EY
authors.lastname: Ng
authors.forename: Augustinus
authors.initials: A
authors.lastname: Laude
mesh_terms: D003930:Diabetic Retinopathy / Q000175:diagnosis* / Q000473:pathology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D005654:Fundus Oculi; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008297:Male
keywords: Computer-aided diagnosis; Fundus imaging; Image processing; Pattern classification; Retina; Retinopathy