中國醫藥大學機構典藏 China Medical University Repository, Taiwan:Item 310903500/28957
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 29490/55136 (53%)
Visitors : 1996013      Online Users : 507
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    CMUR > China Medical University Hospital > Jurnal articles >  Item 310903500/28957
    Please use this identifier to cite or link to this item: http://ir.cmu.edu.tw/ir/handle/310903500/28957


    Title: Objective assessment of blood stasis using computerized inspection of sublingual veins
    Authors: Chiu, CC;Lan, CY;Chang, YH
    Contributors: 附設醫院;Feng Chia Univ, Inst Automat Control Engn, Taichung 40724, Taiwan;China Med Coll Hosp, Taichung, Taiwan
    Date: 2002
    Issue Date: 2010-09-24 14:17:02 (UTC+8)
    Publisher: ELSEVIER SCI IRELAND LTD
    Abstract: Rationale and Objectives. The authors performed this study to determine whether a computer-aided diagnostic (CAD) system was suitable from one ultrasound (US) unit to another after parameters were adjusted by using intelligent selection algorithms. Materials and Methods. The authors used texture analysis and data mining with a decision tree model to classify breast tumors with different US systems. The databases of training cases from one unit and testing cases from another were collected from different countries. Regions of interest on US scans and co-variance texture parameters were used in the diagnosis system. Proposed adjustment schemes for different US systems were used to transform the information needed for a differential diagnosis. Results. Comparison of the diagnostic system with and without adjustment, respectively, yielded the following results: accuracy, 89.9% and 82.2%; sensitivity, 94.6% and 92.2%; specificity, 85.4% and 72.3%; positive predictive value, 86.5% and 76.8%; and negative predictive value, 94.1% and 90.4%. The improvement in accuracy, specificity, and positive predictive value was statistically significant. Diagnostic performance was improved after the adjustment. Conclusion. After parameters were adjusted by using intelligent selection algorithms, the performance of the proposed CAD system was better both with the same and with different systems. Different resolutions, different setting conditions, and different scanner ages are no longer obstacles to the application of such a CAD system.
    Relation: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 69(1):1-12
    Appears in Collections:[China Medical University Hospital] Jurnal articles

    Files in This Item:

    There are no files associated with this item.



    All items in CMUR are protected by copyright, with all rights reserved.

     


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