Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer

Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer

Abstract Background We proposed an artificial intelligence-based immune index, Deep-immune score, quantifying the infiltration of immune cells interacting with the tumor stroma in hematoxylin and eosin-stained whole-slide images of colorectal cancer. Methods A total of 1010 colorectal cancer patient...

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Bibliographic Details
Main Authors: Jing Yang, Huifen Ye, Xinjuan Fan, Yajun Li, Xiaomei Wu, Minning Zhao, Qingru Hu, Yunrui Ye, Lin Wu, Zhenhui Li, Xueli Zhang, Changhong Liang, Yingyi Wang, Yao Xu, Qian Li, Su Yao, Dingyun You, Ke Zhao, Zaiyi Liu
Format: Article
Language:English
Published: BMC 2022-10-01
Series:Journal of Translational Medicine
Subjects:
Deep learning
Whole-slide images
Deep-immune score
Colorectal cancer
Digital pathology
Online Access:https://doi.org/10.1186/s12967-022-03666-3

Internet

https://doi.org/10.1186/s12967-022-03666-3

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