DEFINING PLANNING TARGET VOLUME IN RADIOTHERAPY FOR GLIOBLASTOMA MUTLIFORME BY USING ARTIFICIAL NEU

The objective of this 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. In this paper the idea and the first results of predicting the planning target volume by means of an artificial neural network are illustrated.

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