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
fDate :
Oct. 29 1992-Nov. 1 1992
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;
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
DOI :
10.1109/IEMBS.1992.5761342
