OUTCOME PREDICTION FOR PROSTATE CANCER DETECTION RATE WITH ARTIFICIAL NEURAL NETWORK IN DAILY ROUTINE

被引：0
|
作者：
Ecke, T. H.
Bartel, P.
Hallmann, S.
Gunia, S.
Koch, S.
Ruttloff, J.
Cammann, H.
Lein, M.
Schrader, M.
Miller, K.
Stephan, C.
机构：
[1] HELIOS Hosp, German Inst Pathol, Dept Urol, Bad Saarow Pieskow, Germany
[2] Charite Univ Med Berlin, Inst Urol Res, Dept Urol, Inst Med Informat, D-13353 Berlin, Germany
来源：
ANTICANCER RESEARCH | 2008年 / 28卷 / 6B期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
92
引用
收藏
页码：4056 / 4056
页数：1
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