Title :
Defining planning target volume in radiotherapy for glioblastoma multiform by using artificial neural network
Author :
Kaspari, N. ; Michaelis, B. ; Gademann, G.
Author_Institution :
Inst. for Meas. & Electron., Otto-von-Guericke-Univ., Magdeburg, Germany
Abstract :
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
Keywords :
diagnostic radiography; medical computing; neural nets; radiation therapy; 3-dimensional image; artificial neural network; detected tumor; doctor; glioblastoma multiform; planning target volume; radiotherapy; Artificial neural networks; Biological neural networks; Biomedical imaging; Equations; Medical simulation; Microscopy; Neoplasms; Shape; Volume measurement; Weather forecasting;
Conference_Titel :
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location :
Grand Bahama Island
Print_ISBN :
0-8186-8218-3
DOI :
10.1109/IIS.1997.645170
