Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms.

Journal: The Journal of international medical research
Published Date:

Abstract

OBJECTIVE: Deep learning algorithms were used to develop a model for predicting the staging and grading of renal clear cell carcinoma to inform clinicians' treatment plans.

Authors

  • Gao Wen-Zhi
    Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Tian Tai
    Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Fu Zhixin
    Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Liang Huanyu
    Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Gong Yanqing
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Guo Yuexian
    Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Li Xuesong
    Department of Urology, Peking University First Hospital, Beijing, China.