Automated Data Mining of Lung SBRT Cases for Predicting Dosimetric Indices in Prospective Plans

被引：0
|
作者：
Atwood, T. [1 ]
Xing, L. [1 ]
Hristov, D. [1 ]
机构：
[1] Stanford Univ, Sch Med, Stanford, CA 94305 USA
来源：
MEDICAL PHYSICS | 2012年 / 39卷 / 06期
关键词：
D O I：
10.1118/1.4735279
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：
引用
收藏
页码：3753 / 3753
页数：1
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