Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer

Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer

Background: An artificial intelligence method could accelerate the clinical implementation of tumour-stroma ratio (TSR), which has prognostic relevance in colorectal cancer (CRC). We, therefore, developed a deep learning model for the fully automated TSR quantification on routine haematoxylin and eo...

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Bibliographic Details
Main Authors: Ke Zhao, Zhenhui Li, Su Yao, Yingyi Wang, Xiaomei Wu, Zeyan Xu, Lin Wu, Yanqi Huang, Changhong Liang, Zaiyi Liu
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:EBioMedicine
Subjects:
Deep learning
Colorectal cancer
Tumour-stroma ratio
Whole-slide image
Prognosis prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396420304308

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