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Volumn 166, Issue , 2009, Pages 1-9

Evaluation of morphological features for breast cells classification using neural networks

Author keywords

Breast cancer; Classification; Fine needle aspirates; Morphological features; Neural network

Indexed keywords


EID: 54849432203     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-88069-1_1     Document Type: Article
Times cited : (3)

References (7)
  • 1
    • 33947722975 scopus 로고    scopus 로고
    • Automated Cancer Diagnosis Based on Histopathological Images: A Systematic Survey
    • Technical Report, Rensselaer Polytechnic Institute, Department of Computer Science, TR-05-09
    • Demir, C., Yener, B.: Automated Cancer Diagnosis Based on Histopathological Images: A Systematic Survey. Technical Report, Rensselaer Polytechnic Institute, Department of Computer Science, TR-05-09 (2005)
    • (2005)
    • Demir, C.1    Yener, B.2
  • 5
    • 0031342912 scopus 로고    scopus 로고
    • Predicting local and distant metastasis for breast cancer patients using the Bayesian Neural Network
    • Choong, P.L., DeSilva, C.J.S., Attikiouzel, Y.: Predicting local and distant metastasis for breast cancer patients using the Bayesian Neural Network. In: Int. Conference on Digital Signal Processing, vol. 1, pp. 83-88 (1997)
    • (1997) Int. Conference on Digital Signal Processing , vol.1 , pp. 83-88
    • Choong, P.L.1    DeSilva, C.J.S.2    Attikiouzel, Y.3
  • 6
    • 0033281609 scopus 로고    scopus 로고
    • The Pathology of Familial Breast Cancer: Morphological Aspects
    • Lakhani, S.R.: The Pathology of Familial Breast Cancer: Morphological Aspects. Breast Cancer Research 1(1), 31-35 (1999)
    • (1999) Breast Cancer Research , vol.1 , Issue.1 , pp. 31-35
    • Lakhani, S.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.