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Volumn 14, Issue 3, 2003, Pages 680-687

An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei topic area: Image processing and recognition

Author keywords

Adaptive resource allocating network; Image analysis; On line learning

Indexed keywords

AUTOMATION; BOUNDARY CONDITIONS; CYTOLOGY; IMAGE ANALYSIS; IMAGE SEGMENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEDICAL IMAGING; ONLINE SYSTEMS; PATTERN RECOGNITION; RESOURCE ALLOCATION;

EID: 0037844845     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2003.810615     Document Type: Article
Times cited : (44)

References (13)
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  • 6
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    • K.-M. Lee and W. N. Street, "Model-based detection, segmentation and classification for image analysis using on-line shape learning," in Machine Vision Applicat., 2003, vol. 13, pp. 222-233.
    • (2003) Machine Vision Applicat. , vol.13 , pp. 222-233
    • Lee, K.-M.1    Street, W.N.2
  • 7
    • 0001071040 scopus 로고
    • A resource-allocating network for function interpolation
    • J. Plat, "A resource-allocating network for function interpolation," Neural Comput., vol. 3, no. 2, pp. 213-225, 1991.
    • (1991) Neural Comput. , vol.3 , Issue.2 , pp. 213-225
    • Plat, J.1
  • 8
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    • (1992) Neural Networks , vol.5 , Issue.2 , pp. 283-288
    • Eaton, H.A.C.1    Olivier, T.L.2
  • 9
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  • 11
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    • Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates
    • W. H. Wolberg, W. N. Street, and O. L. Mangasarian, "Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates," Cancer Lett., vol. 77, pp. 163-171, 1994.
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    • Wolberg, W.H.1    Street, W.N.2    Mangasarian, O.L.3
  • 13
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    • Xcyt: A system for remote cytological diagnosis and prognosis of breast cancer
    • L. C. Jain, Ed. Singapore: World Scientific
    • W.N. Street, "Xcyt: A system for remote cytological diagnosis and prognosis of breast cancer," in Artificial Intelligence Techniques in Breast Cancer diagnosis and Prognosis, L. C. Jain, Ed. Singapore: World Scientific, 2000, pp. 297-322.
    • (2000) Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis , pp. 297-322
    • Street, W.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.