Incorporating Explicit Dose-Volume Constraints in Deep Learning Improves Prediction of Deliverable Dose Distributions for Prostate VMAT Planning

被引：0
|
作者：
Willems, S. [1 ]
Vandewinckele, L. [1 ]
Sterpin, E. [1 ,2 ]
Haustermans, K. [1 ,3 ]
Crijns, W. [1 ,3 ]
Maes, F. [1 ]
机构：
[1] Katholieke Univ Leuven, Leuven, Belgium
[2] UC Louvain, Leuven, Belgium
[3] UZ Leuven, Leuven, Belgium
来源：
MEDICAL PHYSICS | 2020年 / 47卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
BReP-SNAP-
引用
收藏
页码：E427 / E428
页数：2
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