Classification of signal-time curves from dynamic MR mammography by neural networks.

@article{Lucht2001ClassificationOS,
  title={Classification of signal-time curves from dynamic MR mammography by neural networks.},
  author={Robert E. A. Lucht and Michael V. Knopp and Gunnar Brix},
  journal={Magnetic resonance imaging},
  year={2001},
  volume={19 1},
  pages={
          51-7
        }
}
The aim of this study was to test the performance of artificial neural networks for the classification of signal-time curves obtained from breast masses by dynamic MRI. Signal-time courses from 105 parenchyma, 162 malignant, and 102 benign tissue regions were examined. The latter two groups were histopathologically verified. Four neural networks corresponding to different temporal resolutions of the signal-time curves were tested. The resolution ranges from 28 measurements with a temporal… CONTINUE READING
BETA

Citations

Publications citing this paper.
SHOWING 1-10 OF 43 CITATIONS, ESTIMATED 32% COVERAGE

135 Citations

01020'02'05'09'13'17
Citations per Year
Semantic Scholar estimates that this publication has 135 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…