安徽大学学报（自然科学版）2014，Vol.38Issue(2)：33-39,7.DOI:10.3969/j.issn.1000-2162.2014.02.006
基于神经网络的医学图像分割研究
Medical image segmentation based on neural network
摘要
Abstract
In order to segment medical images more efficiently, the research improved the traditional neural network, subtracted the image regional characteristics after segmentation, so as to lower feature vector dimension. This study was based on the extracted rules the number of neurons in hidden layer neural network neurons, and determined the initial neural network topology. A reverse iterative learning algorithm was utilized in this study;the final decision results were achieved and the image segmentation was realized. The experiments showed that this method greatly reduced the experiment time and improved the accuracy. The segmentation image was superior to conventional image segmentation and satisfied the factual requirements of the medical image processing.关键词
神经网络/医学图像分割/逆推学习Key words
neural network/medical image segmentation/back propagation分类
信息技术与安全科学引用本文复制引用
魏飞,刘守鹏..基于神经网络的医学图像分割研究[J].安徽大学学报（自然科学版）,2014,38(2):33-39,7.基金项目
Supported by the National Natural Science Foundation of China(11001117) （11001117）
