• 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