Original Research

Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system†

  1. Lina Arbash Meinel PhD1,
  2. Alan H. Stolpen MD, PhD2,
  3. Kevin S. Berbaum PhD2,
  4. Laurie L. Fajardo MD2,
  5. Joseph M. Reinhardt PhD1,*

Article first published online: 11 DEC 2006

DOI: 10.1002/jmri.20794

Issue

Journal of Magnetic Resonance Imaging

Journal of Magnetic Resonance Imaging

Volume 25, Issue 1, pages 89–95, January 2007

Additional Information

How to Cite

Meinel, L. A., Stolpen, A. H., Berbaum, K. S., Fajardo, L. L. and Reinhardt, J. M. (2007), Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system. J. Magn. Reson. Imaging, 25: 89–95. doi: 10.1002/jmri.20794

Author Information

  1. 1

    Department of Biomedical Engineering, The University of Iowa, Iowa City, Iowa, USA

  2. 2

    Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA

*Department of Biomedical Engineering, 1410 SC, The University of Iowa, Iowa City, IA 52242

  1. †

    Presented in part at Radiological Society of North America (RSNA), 2005, November 27–December 2, McCormick Place, Chicago, IL, USA.

Publication History

  1. Issue published online: 21 DEC 2006
  2. Article first published online: 11 DEC 2006
  3. Manuscript Accepted: 31 AUG 2006
  4. Manuscript Received: 3 NOV 2005

Funded by

  • Confirma, Inc

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