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Volumn 5, Issue , 2003, Pages 4705-4711

Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN oracle hybrid

Author keywords

[No Author keywords available]

Indexed keywords

BIOPSY; COMPUTER AIDED DIAGNOSIS; EVALUATION; MAMMOGRAPHY; NEURAL NETWORKS; ONCOLOGY; PERFORMANCE; RADIOLOGY; REGRESSION ANALYSIS;

EID: 0242636914     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (24)
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    • Baker, J.A.1    Kornguth, P.J.2    Lo, J.Y.3    Williford, M.E.4    Floyd Jr., C.E.5
  • 3
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    • Burges, C.J.C.1
  • 5
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    • Prediction of breast cancer malignancy using an artificial neural network
    • C. E. Floyd, J. Y. Lo, A. J. Yun, D. C. Sullivan, and P. J. Kornguth, "Prediction of Breast Cancer Malignancy Using an Artificial Neural Network", Cancer, Vol. 74, pp. 2944-98, 1994.
    • (1994) Cancer , vol.74 , pp. 2944-2998
    • Floyd, C.E.1    Lo, J.Y.2    Yun, A.J.3    Sullivan, D.C.4    Kornguth, P.J.5
  • 7
    • 0029100867 scopus 로고
    • Evolving neural networks for detecting breast cancer
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    • Fogel, D.B.1    Wasson, E.C.2    Boughton, E.M.3
  • 8
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    • A step toward computer-assisted mammography using evolutionary programming and neural networks
    • D. B. Fogel, E. C. Wasson, E. M. Boughton, and V. W. Porto, "A Step Toward Computer-Assisted Mammography using Evolutionary Programming and Neural Networks", Cancer Letters, Vol. 119, pp. 93-97, 1997.
    • (1997) Cancer Letters , vol.119 , pp. 93-97
    • Fogel, D.B.1    Wasson, E.C.2    Boughton, E.M.3    Porto, V.W.4
  • 11
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    • Support vector machines for classification and regression
    • ISIS Technical Report, Image Speech and Intelligent Systems Group, University of Southampton, May 14
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    • (1998)
    • Gunn, S.1
  • 12
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    • Prentice Hall, New Jersey
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    • (1999) Neural Networks
    • Haykin, S.1
  • 13
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    • W. H. Land, T. Masters, J. Y. Lo, and D. McKee, "Using Evolutionary Computation to Develop Neural Network Breast Cancer Benign/Malignant Classification Models", 4th World Conference on Systemics, Cybernetics and Informatics, Vol. 10, pp. 343-7, 2000.
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    • Land, W.H.1    Masters, T.2    Lo, J.Y.3    McKee, D.4
  • 15
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    • Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.