Radiomics-based prognostic model guided by artificial intelligence to predict lymph node invasion and biochemical recurrence in patients with high-grade prostate cancer

被引：0
|
作者：
Touma, N. [1 ,2 ]
Larose, M. [3 ]
Brodeur, R. [3 ]
Desroches, F. [3 ]
Raymond, N. [4 ]
Bedard-Tremblay, D. [1 ,2 ]
Leblanc, D. [3 ]
Rasekh, F. [1 ,2 ]
Hovington, H. [1 ,2 ]
Neveu, B. [1 ,2 ]
Vallieres, M. [4 ]
Archambault, L. [3 ]
Pouliot, F. [1 ,2 ]
机构：
[1] Ctr Rech Ctr Hosp Univ Quebec, Quebec City, PQ, Canada
[2] Univ Laval, Quebec City, PQ, Canada
[3] Univ Laval, Dept Phys Engn Phys & Opt, Quebec City, PQ, Canada
[4] Univ Sherbrooke, Dept Comp Sci, Sherbrooke, PQ, Canada
来源：
EUROPEAN UROLOGY | 2024年 / 85卷
关键词：
D O I：
暂无
中图分类号：
R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];
学科分类号：
1002 ; 100201 ;
摘要：
P260
引用
收藏
页码：S358 / S358
页数：1
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