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

Journal: Journal of translational medicine
Published Date:

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.

Authors

  • Jing Yang
    Beijing Novartis Pharma Co. Ltd., Beijing, China.
  • Huifen Ye
    Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangzhou, China.
  • Xinjuan Fan
    Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, China. Electronic address: fanxjuan@mail.sysu.edu.cn.
  • YaJun Li
    Department of Electronics and Information Engineering, Shunde Polytechnic, Foshan 528300, China.
  • Xiaomei Wu
  • Minning Zhao
    The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Qingru Hu
    The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
  • Yunrui Ye
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Lin Wu
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Zhenhui Li
    College of Information Sciences and Technology, Pennsylvania State University.
  • Xueli Zhang
    Center for Systems Biology, Soochow University, Suzhou 215006, Jiangsu, China.
  • Changhong Liang
    Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
  • Yingyi Wang
    Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
  • Yao Xu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Su Yao
    Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Dingyun You
    School of Public Health, Kunming Medical University, 191 West Renmin Road, Kunming, 650500, China. youdingyun@qq.com.
  • Ke Zhao
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Zaiyi Liu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.