Comment on "Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review"

被引：2
|
作者：
Rivero Belenchon, Ines [1 ,2 ]
Checcucci, Enrico [2 ,3 ]
Gomez Rivas, Juan [2 ,4 ]
Puliatti, Stefano [2 ,5 ]
Taratkin, Mark [2 ,6 ]
Kowalewski, Karl-Friedrich [2 ,7 ]
Rodler, Severin [2 ,8 ]
Veccia, Alessandro [2 ,9 ]
Medina Lopez, Rafael A. [1 ]
Cacciamani, Giovanni [2 ,10 ]
机构：
[1] Univ Seville, Virgen Del Rocio Univ Hosp, Biomed Inst Seville IBiS, Dept Urol & Nephrol, Seville, Spain
[2] European Assoc Urol, Young Acad Urologist Urotechnol Working Party ESUT, Arnhem, Netherlands
[3] IRCC Candiolo Canc Inst, Dept Surg, Div Urol, Turin, Italy
[4] San Carlos Hosp, Dept Urol, Madrid, Spain
[5] Univ Modena & Reggio Emilia, Dept Urol, Modena, Italy
[6] Sechenov Univ, Inst Urol & Reprod Hlth, Moscow, Russia
[7] Heidelberg Univ, Univ Med Ctr Mannheim, Dept Urol, Mannheim, Germany
[8] Klinikum Univ Munchen, Dept Urol, Munich, Germany
[9] AOUI Verona, Unit Urol, Verona, Italy
[10] Univ Southern Calif, US Inst Urol, Catherine & Joseph Aresty Dept Urol, Los Angeles, CA USA
来源：
MINERVA UROLOGY AND NEPHROLOGY | 2022年 / 74卷 / 06期
关键词：
DIGITAL PATHOLOGY; CANCER;
D O I：
10.23736/S2724-6051.22.05180-1
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：
引用
收藏
页码：810 / 812
页数：3
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