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

被引：0
|
作者：
Kaspari, N [1 ]
Michaelis, B [1 ]
Gademann, G [1 ]
机构：
[1] Otto Von Guericke Univ, Clin Radiotherapy, Inst Measurement & Elect, D-39016 Magdeburg, Germany
来源：
INTELLIGENT INFORMATION SYSTEMS, (IIS'97) PROCEEDINGS | 1997年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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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页码：14 / 18
页数：5
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