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Volumn , Issue , 2010, Pages

Using pattern recognition approach for providing second opinion of breast cancer diagnosis

Author keywords

Back propagation (BP); Breast cancer; Delta Bar Delta (DBD); Linear discriminant function (LDF); Logistic regression (LR); Multilayer Perceptrons (MLP); Receiver operating characteristic curve (ROC)

Indexed keywords

BREAST CANCER; DELTA-BAR-DELTA; LINEAR DISCRIMINANT FUNCTIONS; LOGISTIC REGRESSIONS; MULTI-LAYER PERCEPTRONS; RECEIVER OPERATING CHARACTERISTIC CURVES;

EID: 77953148726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (31)
  • 1
    • 77953158860 scopus 로고    scopus 로고
    • Comparing discriminant function, logistic regression and neural network for classification of stocks using ROC curve: Evidence from Egyptian Stock Exchange
    • Abdelaal, Medhat Mohamed. Comparing discriminant function, logistic regression and neural network for classification of stocks using ROC curve: Evidence from Egyptian Stock Exchange. Hawaii International Conference on Statistics, Mathematics and Related Fields. 2004, pp1-11.
    • Hawaii International Conference on Statistics, Mathematics and Related Fields. 2004 , pp. 1-11
    • Abdelaal, M.M.1
  • 2
    • 33747829208 scopus 로고    scopus 로고
    • American Cancer Society, Atlanta, Georgia
    • American Cancer Society, Breast Cancer: Facts & Figures, Atlanta, Georgia, 2005-2006.
    • (2005) Breast Cancer: Facts & Figures
  • 4
    • 37849047243 scopus 로고    scopus 로고
    • Department of Electronics, Computer Science and Automatic Control, Universitat De Girona
    • Arnauo Oliver Malagelada, Automatic Mass Segmentation in Mammographic Images, Department of Electronics, Computer Science and Automatic Control, Universitat De Girona, 2007.
    • (2007) Automatic Mass Segmentation in Mammographic Images
    • Malagelada, A.O.1
  • 6
    • 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
  • 10
    • 0037266090 scopus 로고    scopus 로고
    • Neural networks as statistical tools for business researchers
    • April
    • DeTienne, K.B., DeTienne D. H., and Joshi, S. Neural networks as statistical tools for business researchers. Organizational Research Methods, April, 6(2), 236-265, 2003.
    • (2003) Organizational Research Methods , vol.6 , Issue.2 , pp. 236-265
    • DeTienne, K.B.1    DeTienne, D.H.2    Joshi, S.3
  • 13
    • 0024137490 scopus 로고
    • Increased Rates of Convergence through Learning Rate Adaptation
    • Jacobs R., "Increased Rates of Convergence through Learning Rate Adaptation", J. Neural Networks. Vol. 1, pp 295-307. 1988.
    • (1988) J. Neural Networks , vol.1 , pp. 295-307
    • Jacobs, R.1
  • 14
    • 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
  • 23
    • 70349104339 scopus 로고    scopus 로고
    • Foundations of Neural Networks, Massachusetts Institute of Technology
    • Nikola K. Kasabova. Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering, Massachusetts Institute of Technology, 1996.
    • (1996) Fuzzy Systems and Knowledge Engineering
    • Kasabova, N.K.1
  • 27
    • 84988828223 scopus 로고    scopus 로고
    • Neural Networks: A New Tool for Predicting Bank Failures
    • Salchenberger, L., Cinar E., and Lash N. Neural Networks: A New Tool for Predicting Bank Failures. Decision Sciences 23, 899-916, 2002.
    • (2002) Decision Sciences , vol.23 , pp. 899-916
    • Salchenberger, L.1    Cinar, E.2    Lash, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.