Neural network based retinal image analysis

被引：0
|
作者：
Krishnan, J. David Rekha [1 ]
Kumar, Sukesh A. [1 ]
机构：
[1] Coll Engn Trivandrum, Trivandrum, Kerala, India
来源：
CISP 2008: FIRST INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Diabetic-retinopathy contributes to serious health problem in many parts of the world. With the motivation of the needs of the medical community system for early screening of diabetics and other diseases a computer aided diagnosis system is proposed. This work is aimed to develop an automated system to analyze the retinal images for important features of diabetic retinopathy using image processing techniques and an image classifier based on artificial neural network which classify the images according to the disease conditions. The consistent identifying and quantifying of changes in blood vessels and different findings such as exudates in the retina over time can be used for the early defection of diabetic retinopathy. The algorithm has been tested on an image data base and the results are presented. Vascular network, optic disc and lesions like exudates are identified A neural network classifier is developed and a comparative study on the performance is also presented.
引用
收藏
页码：49 / 53
页数：5
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