Comment on "A planning quality evaluation tool for prostate adaptive IMRT based on machine learning" [Med. Phys. 38, 719 (2011)]

被引:6
作者
Kazhdan, Michael [1 ]
McNutt, Todd [2 ]
Taylor, Russell [1 ]
Wu, Binbin [2 ]
Simari, Patricio [2 ]
机构
[1] Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Radiat Oncol, Baltimore, MD 21218 USA
关键词
D O I
10.1118/1.3578612
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:2820 / 2820
页数:1
相关论文
共 4 条
[1]  
Kazhdan M, 2009, LECT NOTES COMPUT SC, V5762, P100, DOI 10.1007/978-3-642-04271-3_13
[2]  
SIMARI P, 2010, P MED IM COMP COMP A
[3]   Patient geometry-driven information retrieval for IMRT treatment plan quality control [J].
Wu, Binbin ;
Ricchetti, Francesco ;
Sanguineti, Giuseppe ;
Kazhdan, Misha ;
Simari, Patricio ;
Chuang, Ming ;
Taylor, Russell ;
Jacques, Robert ;
McNutt, Todd .
MEDICAL PHYSICS, 2009, 36 (12) :5497-5505
[4]   A planning quality evaluation tool for prostate adaptive IMRT based on machine learning [J].
Zhu, Xiaofeng ;
Ge, Yaorong ;
Li, Taoran ;
Thongphiew, Danthai ;
Yin, Fang-Fang ;
Wu, Q. Jackie .
MEDICAL PHYSICS, 2011, 38 (02) :719-726