Deep learning unveils molecular footprints in histology: Predicting molecular subtypes from bladder cancer histology slides

被引：0
|
作者：
Khoraminia, F. [1 ]
de Jong, C. [1 ]
Akram, F. [2 ]
Litjens, G. [3 ]
Jansen, M. D. C. [1 ]
Gonzalez, Nakauma A. [1 ]
Lichtenberg, D. [1 ]
Stubbs, A. [2 ]
Khalili, N. [3 ]
Zuiverloon, T. C. M. [1 ]
机构：
[1] Erasmus MC Canc Inst, Dept Urol, Rotterdam, Netherlands
[2] Erasmus MC Canc Inst, Dept Pathol & Clin Bioinformat, Rotterdam, Netherlands
[3] Radboud Univ Nijmegen, Dept Pathol, Med Ctr, Nijmegen, Netherlands
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：
A0129
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页码：S851 / S851
页数：1
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