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A Computer-Aided system for Discrimination of Dilated Cardiomyopathy Using Echocardiographic Images
http://hdl.handle.net/10191/6554
http://hdl.handle.net/10191/6554103bc1cc-3bec-4892-93f0-cb2c8bfb96d7
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2008-08-12 | |||||
タイトル | ||||||
タイトル | A Computer-Aided system for Discrimination of Dilated Cardiomyopathy Using Echocardiographic Images | |||||
タイトル | ||||||
タイトル | A Computer-Aided system for Discrimination of Dilated Cardiomyopathy Using Echocardiographic Images | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | medical image processing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | pattern matching | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | computer-aided diagnosis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | texture features | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | echocardiographic images | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Tsai, Du-Yih
× Tsai, Du-Yih× Tomita, Masaaki |
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著者別名 | ||||||
識別子Scheme | WEKO | |||||
識別子 | 6237 | |||||
姓名 | 蔡, 篤儀 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In this paper, the discrimination of ultrasonic heart (echocardiographic) images is studied by making use of some texture features, including the angular second moment, contrast, correlation and entropy which are obtained from a gray-level cooccurrence matrix. Features of these types are used as inputs to the input layer of a neural network (NN) to classify two sets of echocardiographic images-normal heart and dilated cardiomyopathy (DCM) (18 and 13 samples, respectively). The performance of the NN classifier is also compared to that of a minimum distance (MD) classifier. Implementation of our algorithm is performed on a PC-486 personal computer. Our results show that the NN produces about 94% (the confidence level setting is 0.9) and the MD produces about 84% correct classification. We notice that the NN correctly classifies all the DCM cases, namely, all the misclassified cases are of false positive. These results indicate that the method of feature-based image analysis using the NN has potential utility for computer-aided diagnosis of the DCM and other heart diseases. | |||||
書誌情報 |
IEICE transactions on fundamentals of electronics, communications and computer sciences en : IEICE transactions on fundamentals of electronics, communications and computer sciences 巻 E78-A, 号 12, p. 1649-1654, 発行日 1995-12 |
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出版者 | ||||||
出版者 | The Institute of Electronics, Information and Communication Engineers | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09168508 | |||||
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収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10826239 | |||||
権利 | ||||||
権利情報 | copyright©1995 IEICE | |||||
著者版フラグ | ||||||
値 | publisher | |||||
異版である | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://www.ieice.org/jpn/trans_online/ |