Cellular Neural Network based algorithm in image analysis of age related macular degeneration

Author

Chowdhury, A.R. ; Banerjee, Sean

Author_Institution

Dept. of Comput. Applic., Acad. of Technol., Hooghly, India

fYear

2012

fDate

27-29 Dec. 2012

Firstpage

1

Lastpage

4

Abstract

One of the leading causes of blindness among the elderly is age related macular degeneration (AMD), which can be classified as neovascular (wet) and non-neovascular (dry). Wet AMD, the more severe variety, is characterized by the presence of haemorrhages surrounding the macula, as well as the presence of drusen, also found in dry AMD. In this note, semiautomated attempts at detecting the haemorrhages as well as drusen, with the help of Cellular Neural Network (CNN) templates are presented for 20 images. The method is found to hold promise for a longitudinal study of the degeneration that occurs in AMD.

Keywords

cellular neural nets; eye; image processing; CNN templates; age-related macular degeneration; blindness; cellular neural network templates; cellular neural network-based algorithm; dry-AMD; elderly people; image analysis; neovascular AMD; nonneovascular AMD; semiautomated drusen detection; semiautomated haemorrhage detection; wet-AMD; AMD; CNN based algorithm; ROI; fundus image; image analysis;

fLanguage

English

Publisher

iet

Conference_Titel

Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on

Conference_Location

Tiruchengode

Electronic_ISBN

978-1-84919-797-7

Type

conf

DOI

10.1049/cp.2012.2243

Filename

6719149