Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction.

Journal: Frontiers in oncology
Published Date: Feb 2, 2022

Abstract

BACKGROUND: Gastric cancer is one of the leading causes of cancer death in the world. Improving gastric cancer survival prediction can enhance patient prognostication and treatment planning.

Authors

  • Degan Hao
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States.
  • Qiong Li
    Department of Burns & Wound Care Centre, 2nd Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310000, Zhejiang Province, China. 2504131@zju.edu.cn.
  • Qiu-Xia Feng
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
  • Liang Qi
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
  • Xi-Sheng Liu
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
  • Dooman Arefan
    Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.
  • Yu-Dong Zhang
    University of Leicester, Leicester, United Kingdom.
  • Shandong Wu
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, United States.

Keywords

No keywords available for this article.

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