資料載入中.....
|
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
|
題名: | 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 |
貢獻者: | 電機工程學系 |
關鍵詞: | 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
|
上傳時間: | 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 |
顯示於類別: | [電機工程學系] 期刊論文
|
文件中的檔案:
檔案 |
大小 | 格式 | 瀏覽次數 |
index.html | 0Kb | HTML | 668 | 檢視/開啟 |
|
在NCUEIR中所有的資料項目都受到原著作權保護.
|