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

页码：3753 / 3753

页数：1

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