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

Authors:
N. Kaspari;G. Gademann;B. Michaelis
Affiliations:
-;-;-
Venue:
CBMS '97 Proceedings of the 10th IEEE Symposium on Computer-Based Medical Systems (CBMS '97)
Year:
1997

Citing 2
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Digital Image Processing

Digital Image Processing
3D-Measurement of Geometrical Shapes by Photogrammetry and Neural Networks

ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472

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Abstract

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.