Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by N. Kaspari Articles by B. Michaelis Articles by G. Gademann

1997 IASTED International Conference on Intelligent Information Systems (IIS '97)

Grand Bahama Island, BAHAMAS

December 08-December 10

ISBN: 0-8186-8218-3

	ASCII Text	x
	N. Kaspari, B. Michaelis, G. Gademann, "Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network," Intelligent Information Systems, IASTED International Conference on, pp. 14, 1997 IASTED International Conference on Intelligent Information Systems (IIS '97), 1997.

	BibTex	x
	@article{ 10.1109/IIS.1997.645170, author = {N. Kaspari and B. Michaelis and G. Gademann}, title = {Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network}, journal ={Intelligent Information Systems, IASTED International Conference on}, volume = {0}, year = {1997}, isbn = {0-8186-8218-3}, pages = {14}, doi = {http://doi.ieeecomputersociety.org/10.1109/IIS.1997.645170}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Intelligent Information Systems, IASTED International Conference on TI - Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network SN - 0-8186-8218-3 SP EP A1 - N. Kaspari, A1 - B. Michaelis, A1 - G. Gademann, PY - 1997 KW - radiation therapy; planning target volume; radiotherapy; glioblastoma multiform; artificial neural network; doctor; 3-dimensional image; detected tumor VL - 0 JA - Intelligent Information Systems, IASTED International Conference on ER -

N. Kaspari, Inst. for Meas. & Electron., Otto-von-Guericke-Univ., Magdeburg, Germany

B. Michaelis, Inst. for Meas. & Electron., Otto-von-Guericke-Univ., Magdeburg, Germany

G. Gademann, Inst. for Meas. & Electron., Otto-von-Guericke-Univ., Magdeburg, Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IIS.1997.645170

The objective of the project is to create a neural network that generalizes a doctor's knowledge and predicts the planning target volume in radiotherapy from the 3-dimensional image of a detected tumor. The idea and the first results of predicting the planning target volume by means of an artificial neural network are illustrated.

Index Terms:

radiation therapy; planning target volume; radiotherapy; glioblastoma multiform; artificial neural network; doctor; 3-dimensional image; detected tumor

Citation:

N. Kaspari, B. Michaelis, G. Gademann, "Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network," iis, pp.14, 1997 IASTED International Conference on Intelligent Information Systems (IIS '97), 1997

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.