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

引用

页数：1

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