Using an artificial neural network to define the planning target volume in radiotherapy

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	Similar Articles Articles by N. Kaspari Articles by G. Gademann Articles by B. Michaelis

10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97)

Maribor, SLOVENIA

March 11-March 13

ISBN: 0-8186-7928-X

	ASCII Text	x
	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	x
	@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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596422

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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