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...
Main Authors: | Peng Sun, Jiehua He, Xue Chao, Keming Chen, Yuanyuan Xu, Qitao Huang, Jingping Yun, Mei Li, Rongzhen Luo, Jinbo Kuang, Huajia Wang, Haosen Li, Hui Hui, Shuoyu Xu |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
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Series: | EBioMedicine |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396421002851 |
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