DocumentCode
562778
Title
Review of retinal blood vessel detection methods for automated diagnosis of Diabetic Retinopathy
Author
Preethi, M. ; Vanithamani, R.
Author_Institution
Dept. of Biomed. Instrum. Eng., Avinashilingam Univ., Coimbatore, India
fYear
2012
fDate
30-31 March 2012
Firstpage
262
Lastpage
265
Abstract
Automated and early diagnosis of Diabetic Retinopathy is a crucial need. `Diabetic Retinopathy´ (DR) is the major cause of blindness among people. It is a progressive disease classified according to the presence of various clinical abnormalities. DR patients perceive no symptoms until the disease is at late stage. So early detection and proper treatment has to be ensured. To serve this purpose, various automated systems have been designed. A number of studies have investigated diabetic retinopathy and this paper deals with the analysis of the blood vessel detection methods available for automated diagnosis which have been recently introduced.
Keywords
blood vessels; diseases; eye; medical image processing; DR patients; automated diabetic retinopathy diagnosis; blindness; clinical abnormalities; retinal blood vessel detection methods; Biomedical measurements; Diabetes; Image edge detection; Image segmentation; Indexes; Retinopathy; Vectors; Diabetic Retinopathy; Moment Invariants; Region Growing Segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location
Nagapattinam, Tamil Nadu
Print_ISBN
978-1-4673-0213-5
Type
conf
Filename
6216011
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