1997 IASTED International Conference on Intelligent Information Systems (IIS '97)
Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network
Grand Bahama Island, BAHAMAS
December 08-December 10
ISBN: 0-8186-8218-3
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
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