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L. Arbach, G. Fallouh, J. M. Reinhardt, and L. Bennett. Distinguishing between malignant and nonmalignant breast masses from mammograms using artificial intelligence techniques. Bassel Al-Assad J. for Engineering Science, vol. 16, pp. 103-121, 2002.

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Keywords: breast cad

Other publications by: L. Arbach, G. Fallouh, J. M. Reinhardt, L. Bennett

Related journal papers:

L. A. Meinel, A. H. Stolpen, K. S. Berbaum, L. L. Fajardo, and J. M. Reinhardt. Breast MRI Lesion Classification: Improved Performance of Human Readers with a Backpropagation Neural Network Computer-Aided Diagnosis (CAD) System. J. Magn. Res. Imaging, vol. 25, no. 1, pp. 85-95, 2007. (details)

Related conference papers:

L. Arbach, L. Bennett, J. M. Reinhardt, and G. Fallouh. Breast mass classification: Comparison between human readers and a back-propagation neural network. In M. Sonka and J. M. Fitzpatrick, eds., Proc. SPIE Conf. Medical Imaging, vol. 5032, pp. 810-818, San Diego, CA, 2003. (details)
L. Arbach, L. Bennett, J. M. Reinhardt, and G. Fallouh. Mammogram Breast Mass Classification with Backpropagation Neural Network. In IEEE Canadian Conference on Electrical and Computer Engineering, vol. 3, pp. 1441-1444, 2003. (details)
L. Arbach, A. H. Stolpen, and J. M. Reinhardt. Classification of breast MRI lesions using a backpropagation neural network (BNN). In 2004 International Symposium on Biomedical Imaging, pp. 253-256, 2004. (details)
M. Sonka, J. Tschirren, S. Ukil, X. Zhang, Y. Xu, J. M. Reinhardt, E. van Beek, G. McLennan, and E. A. Hoffman. Pulmonary CT image analysis and computer aided detection. In Biomedical Imaging: From Nano to Macro, ISBI 2007. 4th IEEE International Symposium on Biomedical Imaging, pp. 500-503, 2007. (details)

Related theses:

L. Arbach. Development of a computer-aided diagnostic system for breast MRI lesion classification. PhD thesis, The University of Iowa, Iowa City, IA, 2005. (details)