A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.

Journal: The British journal of radiology
Published Date: Jul 8, 2021

Abstract

OBJECTIVE: To propose the prediction model for degree of differentiation for locally advanced esophageal cancer patients from the planning CT image by radiomics analysis with machine learning.

Authors

  • Daisuke Kawahara
    Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Yuji Murakami
    Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan. Electronic address: Yujimura@hiroshima-u.ac.jp.
  • Shigeyuki Tani
    School of Medicine, Hiroshima University, Hiroshima, Japan.
  • Yasushi Nagata
    Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Keywords

External Resources

Popular Topics
Recent Journals