Clinical analysis of optimized neural network risk models to predict clinically significant prostate cancer and avoid unnecessary prostate biopsies

被引：0
|
作者：
Wallis, Christopher J. D.
Paproski, Robert J.
Pink, Desmond
Vasquez, Catalina
Fairey, Adrian S.
Hyndman, M. Eric
Aprikian, Armen G.
Kinnaird, Adam
Beatty, Perrin
Pavlovich, Christian P.
Marks, Leonard S.
Lewis, John D.
机构：
[1] Univ Toronto, Univ Hlth Network, Div Urol & Surg Oncol, Dept Surg,Princess Margaret Canc Ctr, Toronto, ON, Canada
[2] Nanostics Inc, Edmonton, AB, Canada
[3] Nanostics, Edmonton, AB, Canada
[4] Univ Alberta, Edmonton, AB, Canada
[5] Univ Calgary, Calgary, AB, Canada
[6] McGill Univ, Div Urol, Dept Surg, Montreal, PQ, Canada
[7] Johns Hopkins, Baltimore, MD USA
[8] UCLA Hlth, Los Angeles, CA USA
来源：
JOURNAL OF CLINICAL ONCOLOGY | 2023年 / 41卷 / 16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：
5023
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收藏
页数：1
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