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医学图像分割方法研究
引用本文:翁璇,郑小林,彭承林. 医学图像分割方法研究[J]. 中国医疗器械信息, 2006, 12(6): 24-26
作者姓名:翁璇  郑小林  彭承林
作者单位:重庆大学生物工程学院,重庆,400044
摘    要:医学图像分割是医学图像处理中的一个经典难题。图像分割能够自动或半自动描绘出医学图像中的解剖结构和其它感兴趣的区域.从而有助于医学诊断。本文综述和讨论了近年来的医学图像分割技术、发展趋势,研究热点及其医学图像分割的评价等问题.并简要讨论了每类分割方法的特点.展望了医学图像分割的前景和面临的挑战。

关 键 词:医学图像分割  模糊分割技术  人工神经网络  小波变换法  图像分割评价
文章编号:1006-6586(2006)06-0024-03
收稿时间:2006-05-22
修稿时间:2006-05-22

Research on Medical Image Segmentation Technology
WENG Xuan,ZHENG Xiao-lin,PENG Cheng-lin. Research on Medical Image Segmentation Technology[J]. China Medical Devices Information, 2006, 12(6): 24-26
Authors:WENG Xuan  ZHENG Xiao-lin  PENG Cheng-lin
Affiliation:College of Bioengineering Chongqing University ,Chongqing 400044
Abstract:Medical image segmentation is a classical difficult problem for researchers, Image segmentation is the method to delineate anatomic structures or other interested regions automatically or semi-automatically, which is helpful to diagnosis and plays a crucial role in many medical imaging applieations. In this article. a rather complete survey to the medical image segmentation methods and their characteristics are given, especially to the new methods or improvement to the classical methods whichwas put forward recently, and a discussion on the future and the challenge ahead is concluded.
Keywords:Medical Linage Segmentation   Fuzzy Partition     artificial Neural Networks. Wavelet Transform Image Segmentation Appraisement
本文献已被 CNKI 维普 万方数据 等数据库收录!
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