Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods-Reference-Cited by-同舟云学术

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Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods

Published:2013 Issue: Volume: Page:419-431
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
Short-container-title:

Author:

Maria Yaneli Ameca-Alducin,Nicandro Cruz-Ramírez,Efrén Mezura-Montes,Enrique Martín-Del-Campo-Mena,Nancy Pérez-Castro,Héctor Gabriel Acosta-Mesa

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-37807-2_36

Reference29 articles.

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2. Geller, B.M., Kerlikowske, K.C., Carney, P.A., Abraham, L.A., Yankaskas, B.C., Taplin, S.H., Ballard-Barbash, R., Dignan, M.B., Rosenberg, R., Urban, N., Barlow, W.E.: Mammography surveillance following breast cancer. Breast Cancer Research and Treatment 81, 107–115 (2003)

3. Bonnema, J., Van Geel, A.N., Van Ooijen, B., Mali, S.P.M., Tjiam, S.L., Henzen-Logmans, S.C., Schmitz, P.I.M., Wiggers, T.: Ultrasound-guided aspiration biopsy for detection of nonpalpable axillary node metastases in breast cancer patients: New diagnostic method. World Journal of Surgery 21, 270–274 (1997)

4. Schnall, M.D., Blume, J., Bluemke, D.A., DeAngelis, G.A., DeBruhl, N., Harms, S., Heywang-Köbrunner, S.H., Hylton, N., Kuhl, C., Pisano, E.D., Causer, P., Schnitt, S.J., Smazal, S.F., Stelling, C.B., Lehman, C., Weatherall, P.T., Gatsonis, C.A.: Mri detection of distinct incidental cancer in women with primary breast cancer studied in ibmc 6883. Journal of Surgical Oncology 92, 32–38 (2005)

5. Ng, E.Y.K.: A review of thermography as promising non-invasive detection modality for breast tumor. International Journal of Thermal Sciences 48, 849–859 (2009)

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