Deep learning-based quantitative assessment of tumor-infiltrating lymphocytes from hematoxylin and eosin-stained slides in triple-negative breast cancer: A prognostic study

被引：0
|
作者：
Kobayashi, Takuma
Hatanaka, Kanako C.
Tomioka, Nobumoto
Konishi, Teppei
Grynkiewicz, Mateusz
Komura, Daisuke
Ishikawa, Shumpei
Watanabe, Kenichi
Takahashi, Masato
Hatanaka, Yutaka
机构：
[1] Biomy Inc, Tokyo, Japan
[2] Hokkaido Univ Hosp, Ctr Dev Adv Diagnost, Sapporo, Japan
[3] Natl Hosp Org NHO, Hokkaido Canc Ctr, Dept Breast Surg, Sapporo, Japan
[4] Univ Tokyo, Grad Sch Med, Dept Prevent Med, Tokyo, Japan
[5] NHO Hokkaido Canc Ctr, Dept Breast Surg, Sapporo, Japan
[6] Hokkaido Univ Hosp, Dept Breast Surg, Sapporo, Japan
来源：
JOURNAL OF CLINICAL ONCOLOGY | 2024年 / 42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：
553
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页数：1
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