ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. Dokkyo Journal of Medical Sciences
  2. 36(1) 2009

Computer-aided Diagnosis of Breast Elastography

https://dmu.repo.nii.ac.jp/records/750
https://dmu.repo.nii.ac.jp/records/750
8ba2b9b3-4103-4a3c-89df-655c7b9e11d8
名前 / ファイル ライセンス アクション
KJ00006350139.pdf KJ00006350139.pdf (646.9 kB)
Item type [ELS]学術雑誌論文 / Journal Article(1)
公開日 2017-05-24
タイトル
タイトル Computer-aided Diagnosis of Breast Elastography
言語 en
言語
言語 eng
キーワード
言語 en
主題 breast ultrasound
キーワード
言語 en
主題 elastography
キーワード
言語 en
主題 computer-aided diagnosis
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
雑誌書誌ID
収録物識別子 AA00629581
論文名よみ
タイトル Computer-aided Diagnosis of Breast Elastography
著者 Takada, Etsuo

× Takada, Etsuo

en Takada, Etsuo

Search repository
Chang, Ruey-Feng

× Chang, Ruey-Feng

en Chang, Ruey-Feng

Search repository
Shen, Wei-Chih

× Shen, Wei-Chih

en Shen, Wei-Chih

Search repository
Ho, Yu-Chun

× Ho, Yu-Chun

en Ho, Yu-Chun

Search repository
Woo, Kyung Moon

× Woo, Kyung Moon

en Woo, Kyung Moon

Search repository
Nakajima, Michiko

× Nakajima, Michiko

en Nakajima, Michiko

Search repository
Kobayashi, Masayuki

× Kobayashi, Masayuki

en Kobayashi, Masayuki

Search repository
著者所属(日)
著者所属(日)
著者所属(日)
著者所属(英)
en
Center of Medical Ultrasonics Dokkyo Medical University School of Medicine
著者所属(英)
en
Department of Computer Science and Information Engineering National Taiwan University
著者所属(英)
en
Department of Computer Science and Information Engineering National Chung Cheng University
著者所属(英)
en
Department of Computer Science and Information Engineering National Taiwan University
著者所属(英)
en
Department of Diagnostic Radiology, College of Medicine Seoul National University Hospital
著者所属(英)
en
Comprehensive Regional Medical Service, Saitama Medical University
著者所属(英)
en
Comprehensive Regional Medical Service, Saitama Medical University
記事種別(日)
内容記述タイプ Other
内容記述 原著
記事種別(英)
内容記述タイプ Other
内容記述 Original
抄録(英)
内容記述タイプ Other
内容記述 Ultrasonography has been an important imaging technique for detecting breast tumors. As opposed tothe conventional B-mode image, the real-time tissue elastography by ultrasound is a new technique for imagingthe elasticity and applied to detect the stiffness of tissues. The red region of color elastography indicatesthe soft tissue and the blue one indicates the hard tissue. The harder tissue usually is classified as malignancy.In this paper, the authors proposed a computer-aided diagnosis( CAD) system on elastography tomeasure whether this system is effective and accurate to classify the tumor into benign and malignant. Accordingto the features of elasticity, the color elastography was transferred to hue, saturation, and value(HSV) color space and extracted meaningful features from hue images. Then the neural network was utilizedin multiple features to distinguish tumors. In this experiment, there are 180 pathology-proven cases including113 benign and 67 malignant cases used to examine the classification. The results of the proposedsystem showed an accuracy of 83.89 %, a sensitivity of 82.09 % and a specificity of 84.96 %. Compared withthe physician's diagnosis, an accuracy of 78.33 %, a sensitivity of 53.73 % and a specificity of 92.92 %, theproposed CAD system had better performance. Moreover, the agreement of the proposed CAD system andthe physician's diagnosis was calculated by kappa statistics, the kappa 0.64 indicated there is a fair agreementof observers.
書誌情報 Dokkyo journal of medical sciences

巻 36, 号 1, p. 17-25, 発行日 2009-03-25
ISSN
収録物識別子タイプ ISSN
収録物識別子 03855023
戻る
0
views
See details
Views

Versions

Ver.1 2023-06-20 16:15:44.878567
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3