%0 Journal Article
%T A multiscale approach to automatic medical image segmentation using self-organizing map<br>A Multiscale Approach to Automatic Medical Image Segmentation Using Self-Organizing Map
%A Ma Feng
%A and Xia Shaowei
%A <br>Ma Feng
%A Xia Shaowei
%J 计算机科学技术学报
%D 1998
%I 
%X In this paper, a new medical image classification scheme is proposed using selforganizing map (SOM) combined with multiscale technique. It addresses the problem of the handling of edge pixels in the traditional multiscale SOM classifiers. First, to solve the difficulty in manual selection of edge pixels, a multiscale edge detection algorithm based on wavelet transform is proposed. Edge pixels detected are then selected into the training set as a new class and a mu1tiscale SoM classifier is trained using this training set. In this new scheme, the SoM classifier can perform both the classification on the entire image and the edge detection simultaneously. On the other hand, the misclassification of the traditional multiscale SoM classifier in regions near edges is greatly reduced and the correct classification is improved at the same time.
%K Medical image segmentation
%K multiscale
%K self-organizing map
%K multiscale edge detection algorithm
%K wavelet transform<br>图象处理
%K 自组织映象
%K 医学图象
%K 计算机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=823F7DD82960306848F6865936DAA075&yid=8CAA3A429E3EA654&vid=FC0714F8D2EB605D&iid=94C357A881DFC066&sid=EE23223CE4332BD7&eid=0493D643315CD829&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=13