Automatic Classification of the Diabetes Retina image based on Improved BP Neural Network

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 BP neural network which classify the images according to the disease conditions.In the course of the study,based on the actual problem and BP neural network characteristics,we exploit an improved BP neural network classification method.

关键词： BP Neural network Additional momentum Diabetic retinopathy Adaptive Learning Rate

作者: Mingli YOU Yafen LI

作者单位: School of electronic information and control engineering,Beijing University of Technology,Beijing 10 School of electronic information and control engineering,Beijing University of Technology,Beijing 10

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5021-5025

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）