Left Ventricle Detection in Radionuclide Ventriculography by a Model of Neural Network. Damien, J., Itti, L., Egroizard, P., & Itti, R. In Proc. 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS), Paris, France, pages 994-995, Oct, 1992.
abstract   bibtex   
A 2-layer neural network was applied to determine the LV in radionuclide ventriculography. After learning by back-propagation, the correlations between computed pictures and learning data-set outputs, and between learning data-set outputs and other pictures were excellent (r=0.92 and r=0.83 respectively).
@inproceedings{ Damien_etal92,
  author = { J. Damien and L. Itti and P. Egroizard and R. Itti },
  title = { Left Ventricle Detection in Radionuclide Ventriculography
                        by a Model of Neural Network },
  month = { Oct },
  abstract = {A 2-layer neural network was applied to determine the LV in
radionuclide ventriculography. After learning by back-propagation, the
correlations between computed pictures and learning data-set outputs,
and between learning data-set outputs and other pictures were
excellent (r=0.92 and r=0.83 respectively).},
  year = {1992},
  booktitle = { Proc. 14th Annual International Conference of the IEEE Engineering
                        in Medicine and Biology Society (IEEE-EMBS), Paris, France },
  pages = {994-995},
  type = {mip},
  file = { http://iLab.usc.edu/publications/doc/Damien_etal92embs.pdf },
  review = {full/conf}
}

Downloads: 0