Proposal of an automated tumor‐stromal ratio assessment algorithm and a nomogram for prognosis in early‐stage invasive breast cancer
Abstract Background The tumor‐stromal ratio (TSR) has been verified to be a prognostic factor in many solid tumors. In most studies, it was manually assessed on routinely stained H&E slides. This study aimed to assess the TSR using image analysis algorithms developed by the Qupath software, and...
Main Authors: | Qian Xu, Yuan‐Yuan Chen, Ying‐Hao Luo, Jin‐Sen Zheng, Zai‐Huan Lin, Bin Xiong, Lin‐Wei Wang |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
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Series: | Cancer Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1002/cam4.4928 |
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