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Volumn 4234 LNCS - III, Issue , 2006, Pages 165-175

Breast cancer diagnosis using neural-based linear fusion strategies

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; ERROR ANALYSIS; NEURAL NETWORKS;

EID: 33750700449     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893295_19     Document Type: Conference Paper
Times cited : (23)

References (23)
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  • 2
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    • Optimal use of regularization and cross-validation in neural network modeling
    • Chen D., Hagan M.: Optimal Use of Regularization and Cross-Validation in Neural Network Modeling. Proc. the 1999 Int'l Joint Conf. on Neural Networks (1999) 1275-1280
    • (1999) Proc. the 1999 Int'l Joint Conf. on Neural Networks , pp. 1275-1280
    • Chen, D.1    Hagan, M.2
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    • Cancer of the breast
    • Donegan, W.L., Spratt, J.S., Orsini, A. (ed.): Amsterdam, Netherlands
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    • Connectionist learning procedures
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    • (2005) IEEE Transactions on Medical Imaging , vol.24 , pp. 1611-1625
    • Madabhushi, A.1    Feldman, M.2    Metaxas, D.3    Tomasezweski, J.4    Chute, D.5
  • 12
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    • Combining, low, high and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
    • Madabhushi, A., Metaxas, D.: Combining, Low, High and Empirical Domain Knowledge for Automated Segmentation of Ultrasonic Breast Lesions. IEEE Transactions on Medical Imaging 22 (2003) 155-169
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  • 13
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    • Breast cancer diagnosis and prognosis via linear programming
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.