A New Way To Process B-scan Images

摘要：

Image processing is an important phase in order to improve the accuracy both for diagnosis procedure and for surgical operation. Medical diagnosis is one of the most important areas in which image processing procedures are usefully applied. In this paper, we use the Cellular Neural Networks to research diagnostic images. We present a robustness design theorem for the Optimal Edge Detector Cellular Neural Network (OEDGE CNN). As applications, the CNN can detect successfully the embossment of B-Scan image. Our findings show that CNN may provide a useful tool for medical image processing. To this point, a novel approach to image processing has been developed in the work.

关键词： Cellular neural network optimal edge detector templates Embossment Effect

作者: Guodong Li Huiming Song Honglan Zhang Jianghe Wang Huiwen Hong Yanling Liu

作者单位: School of Mathematics and Physics North China Electric Power University Beijing, 102206, China School of Electrical engineeringNorth China Electric Power University Beijing, 102206, China Traditional Medical Research Institute of China XiYuan Hospital Chinese Beijing 100871, PR China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2567-2570

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）