A Computational Tumor-Infiltrating Lymphocyte Assessment Method Comparable with Visual Reporting Guidelines for Triple-Negative Breast Cancer

BACKGROUND: Tumor-infiltrating lymphocytes (TILs) are clinically significant in triple-negative breast cancer (TNBC). Although a standardized methodology for visual TILs assessment (VTA) exists, it has several inherent limitations. We established a deep learning-based computational TIL assessment (C...

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Detalles Bibliográficos
Autores principales: Sun, Peng, He, Jiehua, Chao, Xue, Chen, Keming, Xu, Yuanyuan, Huang, Qitao, Yun, Jingping, Li, Mei, Luo, Rongzhen, Kuang, Jinbo, Wang, Huajia, Li, Haosen, Hui, Hui, Xu, Shuoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318866/
https://www.ncbi.nlm.nih.gov/pubmed/34280779
http://dx.doi.org/10.1016/j.ebiom.2021.103492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318866/
https://www.ncbi.nlm.nih.gov/pubmed/34280779
http://dx.doi.org/10.1016/j.ebiom.2021.103492

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