Machine learning model predicting axillary pathologic response after neoadjuvant chemotherapy for clinically node-positive breast cancer

被引：0
|
作者：
Matsumoto, A. [1 ]
Sugimoto, M. [2 ]
Naruse, S. [1 ]
Isono, Y. [1 ]
Maeda, Y. [1 ]
Sato, A. [1 ]
Yamada, M. [1 ]
Ikeda, T. [1 ]
Jinno, H. [1 ]
机构：
[1] Teikyo Univ, Sch Med, Dept Surg, Tokyo, Japan
[2] Keio Univ, Grad Sch Media & Governance, Yokohama, Kanagawa, Japan
来源：
EUROPEAN JOURNAL OF CANCER | 2024年 / 200卷
关键词：
D O I：
10.1016/j.ejca.2024.113742
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
169 (PB-07
引用
收藏
页码：65 / 65
页数：1
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