National Changhua University of Education Institutional Repository : Item 987654321/11741
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 6491/11663
造访人次 : 24894176      在线人数 : 67
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 进阶搜寻

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.ncue.edu.tw/ir/handle/987654321/11741

题名: A Computer-Aided System for Mass Detection and Classification in Digitized Mammograms
作者: Yang, Sheng-Chih;Wang, Chuin-Mu;Chung, Yi-Nung;Hsu, Giu-Cheng;Lee, San-Kan;Chung, Pau-Choo;Chang, Chein-I
贡献者: 電機工程學系
关键词: Classification;Detection;Entropic thresholding;Fractal dimension (FD);Joint entropy(JE);Local entropy (LE);Probabilistic neural network (PNN);Spatial gray level difference matrix (SGLDM);Texture feature;Shape feature
日期: 2005-10
上传时间: 2012-07-02T02:06:32Z
出版者: Center for Biomedical Engineering, Taiwan, TAIWAN
摘要: This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification detected masses. In order for mass detection to be effective, a sequence of preprocessing steps are designed to enhance the intensity of a region of interest, remove the noise effects and locate suspicious masses using five texture features generated from the spatial gray level difference matrix (SGLDM) and fractal dimension. Finally, a probabilistic neural network (PNN) coupled with entropic thresholdiing techniques is developed for mass extraction. Since the shapes of masses are crucial in classification between benignancy and malignancy, four shape features are further generated and joined with the five features previously used in mass detection to be implemented in another PNN for mass classification. To evaluate our designed system a data set collected in the Taichung Veteran General Hospital, Taiwan, R.O.C. was used for performance evaluation. The results are encouraging and have shown promise of our system.
關聯: Biomedical Engineering Applications, Basis,and Communications, 17(5): 215-228
显示于类别:[電機工程學系] 期刊論文

文件中的档案:

档案 大小格式浏览次数
index.html0KbHTML532检视/开启


在NCUEIR中所有的数据项都受到原著作权保护.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈