• DocumentCode
    2127853
  • Title

    Breast lesion classification on MRI by texture features

  • Author

    Pang, Yachun ; Shao, Yuanzhi ; Li, Li

  • Author_Institution
    State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To explore the association between the texture feature and the lesions classification on breast MRI, we used a sixty-one biopsy-proven lesions database, using the Fisher stepwise discriminant analysis and logistic regression models.
  • Keywords
    Accuracy; Analytical models; Breast; Cancer; Entropy; Lesions; Logistics; Fisher stepwise discriminant analysis; GLCM texture features; breast MRI; logistic regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690407
  • Filename
    5690407
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2127853