• DocumentCode
    544604
  • Title

    Left ventricle detection in radionuclide ventriculography by a model of neural network

  • Author

    Damien, J. ; Itti, Laurent ; Egroizard, P. ; Itti, R.

  • Author_Institution
    Centre de Med. Nucl., Lyon, France
  • Volume
    3
  • fYear
    1992
  • fDate
    Oct. 29 1992-Nov. 1 1992
  • Firstpage
    994
  • Lastpage
    995
  • 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).
  • Keywords
    medical computing; neural nets; radioisotope imaging; learning data-set outputs; left ventricle detection; radionuclide ventriculography; two-layer neural network; Artificial neural networks; Computational modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-0785-2
  • Electronic_ISBN
    0-7803-0816-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1992.5761342
  • Filename
    5761342