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Multiresolution Wavelet Approach for Separating the Breast Region from the Background in High Resolution Digital Mammography.

, , , и . Digital Mammography / IWDM, том 13 из Computational Imaging and Vision, стр. 295-298. Springer, (1998)

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New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data., , , , , , и . I. J. Functional Informatics and Personalised Medicine, 1 (2): 111-139 (2008)Multiresolution Statistical Analysis of High-Resolution Digital Mammograms., , , , и . IEEE Trans. Med. Imaging, 16 (5): 503-515 (1997)Partial Least Squares (PLS) Applied to Medical Bioinformatics., , , , , , , , и . Complex Adaptive Systems, том 6 из Procedia Computer Science, стр. 273-278. Elsevier, (2011)A kernel approach for ensemble decision combinations with two-view mammography applications., , , и . I. J. Functional Informatics and Personalised Medicine, 3 (2): 157-182 (2010)Magnetic Resonance Electrical Impedance Mammography: A Pilot Study., , , , и . Digital Mammography / IWDM, том 4046 из Lecture Notes in Computer Science, стр. 468-474. Springer, (2006)Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression., , и . BMC Bioinform., (2011)Multiresolution Wavelet Approach for Separating the Breast Region from the Background in High Resolution Digital Mammography., , , и . Digital Mammography / IWDM, том 13 из Computational Imaging and Vision, стр. 295-298. Springer, (1998)Empirically-derived synthetic populations to mitigate small sample sizes., , , , , и . J. Biomed. Informatics, (2020)PNN/GRNN Ensemble Processor Design for Early Screening of Breast Cancer., , , , , , и . Complex Adaptive Systems, том 12 из Procedia Computer Science, стр. 438-443. Elsevier, (2012)Evolutionary computation with noise perturbation and cluster analysis to discover biomarker sets., , , , , и . Complex Adaptive Systems, том 6 из Procedia Computer Science, стр. 153-158. Elsevier, (2011)