Academic Radiology
Volume 16, Issue 7 , Pages 842-851, July 2009

Prediction of Malignant Breast Lesions from MRI Features:

A Comparison of Artificial Neural Network and Logistic Regression Techniques

Department of Epidemiology (C.E.M.), the Chao Family Comprehensive Cancer Center (C.E.M., W.-P.C.), and the Tu & Yuen Center for Functional Onco-Imaging (K.N., M.-Y.S.), University of California, Irvine, 224 Irvine Hall, Irvine, CA 92697-7550

Received 4 November 2008; accepted 23 January 2009. published online 01 May 2009.

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 This work was supported in part by grant R01 CA90437 (O. Nalcioglu) and R21 CA121568 (M.-Y.Su) from the National Cancer Institute (Bethesda, MD), grants 9WB-0020 (M.-Y. Su) and 14GB-0148 (K. Nie) from the California Breast Cancer Research Program (Oakland, CA), and Cancer Center Support Grant No. 2P30CA062203-13S (F.L. Meyskens, Jr) from the National Cancer Institute (Bethesda, MD).

PII: S1076-6332(09)00134-2

doi:10.1016/j.acra.2009.01.029

Academic Radiology
Volume 16, Issue 7 , Pages 842-851, July 2009

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