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Volumn , Issue , 2008, Pages 703-707

Diagnosis of breast cancer tumor based on manifold learning and support vector machine

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL RESULTS; BREAST CANCER TUMORS; BREAST TUMORS; DIMENSIONAL SPACES; EFFICIENT ALGORITHMS; ISOMAP ALGORITHMS; MANIFOLD LEARNINGS; PRINCIPAL COMPONENTS; SPEED-UP; SUPPORT VECTORS; TRAINING AND TESTING;

EID: 54249166561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICINFA.2008.4608089     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 1
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    • Jennifer Listgarten, "Predictive Models for Breast Cancer Susceptibility from Multiple Single Nucleotide Polymorphisms", Clinical Cancer Research, Vol. 10, pp. 2725-2737.2004
    • (2004) Clinical Cancer Research , vol.10 , pp. 2725-2737
    • Listgarten, J.1
  • 2
    • 85075951328 scopus 로고    scopus 로고
    • W.Nick Street, William H.Wolberg, O. L. Mangasarian, Nuclear Feature Extraction For Breast Tumor Diagnosis 1993 International Symposium on Electronic Imaging: Science and Technology, San Jose, California, 1905, pp. 861-870
    • W.Nick Street, William H.Wolberg, O. L. Mangasarian, "Nuclear Feature Extraction For Breast Tumor Diagnosis" 1993 International Symposium on Electronic Imaging: Science and Technology, San Jose, California, vol. 1905, pp. 861-870
  • 3
    • 19044383038 scopus 로고    scopus 로고
    • A study on several machine learning methods for classification of malignant and benign clustered microcalcification
    • Lwei, Y. Yang, R, R.M. Nishikwa and Y. Jiang, "A study on several machine learning methods for classification of malignant and benign clustered microcalcification", IEEE Transctions on Medical Imaging, vol. 24, No. 3, pp. 371-380, 2005
    • (2005) IEEE Transctions on Medical Imaging , vol.24 , Issue.3 , pp. 371-380
    • Lwei1    Yang, Y.2    Nishikwa, R.R.M.3    Jiang, Y.4
  • 4
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkopf, A.J. Smola, and K. R. Muller, "Nonlinear component analysis as a kernel eigenvalue problem", Neural computation, vol. 10, pp. 1299-1319, 1998.
    • (1998) Neural computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.R.3
  • 5
    • 0034704229 scopus 로고    scopus 로고
    • Aglobal geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. Desilva, and J.C. Langford, "Aglobal geometric framework for nonlinear dimensionality reduction", Science, vol. 290, pp. 2319-2323, 2000
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    Desilva, V.2    Langford, J.C.3
  • 7
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by Locally Linear Embedding
    • S.T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by Locally Linear Embedding", Science, vol. 290, pp. 2323-2326, 2000
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 8
    • 57649199606 scopus 로고    scopus 로고
    • P. Ataee, A. Yazdani, S.K Setarehdan, H.A. Noubari, Manifold Learning Applied on EEG Signal of the Epileptic Patients for Detection of Normal and Pre-Seizure States, Proceedings of the 29th Annual International Conference of the IEEE EMBS, pp. 5489-5492, Cité Internationale, Lyon, France August 23-26, 2007
    • P. Ataee, A. Yazdani, S.K Setarehdan, H.A. Noubari, "Manifold Learning Applied on EEG Signal of the Epileptic Patients for Detection of Normal and Pre-Seizure States", Proceedings of the 29th Annual International Conference of the IEEE EMBS, pp. 5489-5492, Cité Internationale, Lyon, France August 23-26, 2007
  • 12
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    • Breast cytology diagnosis with digital image analysis
    • Analytical&Quantitative Cytology & Histology
    • Wolberg WH, Street WN, Mangasarian OL, "Breast cytology diagnosis with digital image analysis". Analytical&Quantitative Cytology & Histology 1993: 15; 396-404
    • (1993)
    • Wolberg, W.H.1    Street, W.N.2    Mangasarian, O.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.