%0 Journal Article
%T AUTOMATIC SEGMENTATION OF MEDICAL ULTRASONIC IMAGE USING SELF-CREATING AND ORGANIZING NEURAL NETWORK<br>用自产生和自组织神经网络对超声医学图像进行自动分割
%A Wang Tianfu
%A Li Deyu
%A Zheng Changqiong
%A Zheng Yi
%A Ran Junguo
%A <br>汪天富
%A 李德玉
%A 郑昌琼
%A 郑翊
%A 冉均国
%J 电子与信息学报
%D 1999
%I 
%X The automatic segmentation of ultrasonic heart image using self-creating and organizing neural network has been studied. This kind of unsupervised clustering method can search for the optimal number of output nodes automatically to get the number of textures in the'image, and finish the automatic segmentation. Experimental results show that this method has significant benefits over self-organizing neural network method.
%K Self-organizing feature map
%K Self-creating and organizing neural network
%K Image segmentation
%K Medical ultrasonic image<br>自组织特征映射
%K 自产生和自组织神经网络
%K 自动分割
%K 医学超声图像
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=89ADFD81D0C0D6445CC898EABCFFFAC1&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=2F56B21F91C9B05B&eid=B344543C2864D684&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=7