메뉴 건너뛰기




Volumn 5, Issue , 2010, Pages 11-17

Using data mining for assessing diagnosis of breast cancer

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; SUPPORT VECTOR MACHINES;

EID: 79551515536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/imcsit.2010.5679647     Document Type: Conference Paper
Times cited : (24)

References (15)
  • 4
    • 0003409569 scopus 로고    scopus 로고
    • Verlag Berlin, Heidelberg, Springer
    • Bernd Jahne. "Digital image processing", Verlag Berlin, Heidelberg, Springer, 2002.
    • (2002) Digital Image Processing
    • Jahne, B.1
  • 7
    • 0008830415 scopus 로고    scopus 로고
    • Overview and fundamentals of medical image segmentation
    • San Diego, Academic Press
    • Jadwign Rogowska. "Overview and fundamentals of medical image segmentation", Handbook of Medical Imaging, San Diego, Academic Press, 2000.
    • (2000) Handbook of Medical Imaging
    • Rogowska, J.1
  • 10
    • 84872562056 scopus 로고    scopus 로고
    • Department of Computer Science and Engineering, College of Engineering, LTniversity of South Florida
    • Monika Shinde, 2003, "Computer aided diagnosis in digital mammography", Department of Computer Science and Engineering, College of Engineering, LTniversity of South Florida.
    • (2003) Computer Aided Diagnosis in Digital Mammography
    • Shinde, M.1
  • 14
    • 34147223416 scopus 로고    scopus 로고
    • Point estimates and confidence intervals for variable importance in multiple linear regression
    • Thomas, D. R. Zhu, P. Decady, Y. J. Point estimates and confidence intervals for variable importance in multiple linear regression. Journal of Educational and Behavioral Statistics, 2007, Vol 32; Num B 1. pages 61-91.
    • (2007) Journal of Educational and Behavioral Statistics , vol.32 , Issue.B1 , pp. 61-91
    • Thomas, D.R.1    Zhu, P.2    Decady, Y.J.3
  • 15
    • 79551530137 scopus 로고    scopus 로고
    • LTniversity of South Florida, Home Page
    • LTniversity of South Florida, Digital Mammography Home Page. http:marathon.csee.usf.edu/Mammography/Database.html.2009.
    • Digital Mammography


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.