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Using an artificial neural network to define the planning target volume in radiotherapy
Maribor, SLOVENIA March 11-March 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.59642210th IEEE Symposium on Computer-Based ...
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N. Kaspari, G. Gademann, B. Michaelis, "Using an artificial neural network to define the planning target volume in radiotherapy," Computer-Based Medical Systems, IEEE Symposium on, pp. 132, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997.
 
 
BibTex
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@article{ 10.1109/CBMS.1997.596422,
author = {N. Kaspari and G. Gademann and B. Michaelis},
title = {Using an artificial neural network to define the planning target volume in radiotherapy},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1997},
issn = {1063-7125},
pages = {132},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596422},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Using an artificial neural network to define the planning target volume in radiotherapy
SN - 1063-7125
SP
EP
A1 - N. Kaspari,
A1 - G. Gademann,
A1 - B. Michaelis,
PY - 1997
KW - planning (artificial intelligence); artificial neural network; planning target volume prediction; radiotherapy; tumor shape; generalized doctor knowledge; 3D image
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
N. Kaspari, Inst. for Meas. Technol. & Electron., Magdeburg Univ., Germany
G. Gademann, Inst. for Meas. Technol. & Electron., Magdeburg Univ., Germany
B. Michaelis, Inst. for Meas. Technol. & Electron., Magdeburg Univ., Germany
A neural network is designed and tested for prediction of the planning target volume in radiotherapy from the shape of the detected tumor. The proposed neural network is able to generalize a doctor's knowledge and to predict the planning target volume from a 3-dimensional image of the detected tumor. The first results are presented.
Index Terms:
planning (artificial intelligence); artificial neural network; planning target volume prediction; radiotherapy; tumor shape; generalized doctor knowledge; 3D image
Citation:
N. Kaspari, G. Gademann, B. Michaelis, "Using an artificial neural network to define the planning target volume in radiotherapy," cbms, pp.132, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997
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