Scilit logo
  • Rankings
  • Search Publications
    Cited-by Search
  • Sources
  • Publishers
  • Scholars
    Top Cited Scholars
  • Organizations
  • Scilit
    About Us
    Advisory Board
    Data Sources
    Career
    Support / Contact
    User Guide
    Publisher User
    Search Function
    Rankings Function
    API Resource
    Scilit Knowledge
    Metrics
    Scilit Recognitions
    Publications Classification
    Media
    News
    Blog
Register
  1. Home
  2. Publications
  3. Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study
  1. Home
  2. Publications
  3. Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study

Supplementary Table S2 from Prediction of Response to Lenvatinib Monotherapy for Unresectable Hepatocellular Carcinoma by Machine Learning Radiomics: A Multicenter Cohort Study

Authors:
  • ZBZhiyuan Bo
    Zhiyuan Bo
  • BCBo Chen
    Bo Chen
  • ZZZhengxiao Zhao
    Zhengxiao Zhao
  • QHQikuan He
    Qikuan He
  • YMYicheng Mao
    Yicheng Mao
  • YYYunjun Yang
    Yunjun Yang
  • FYFei Yao
    Fei Yao
  • YYYi Yang
    Yi Yang
  • ZCZiyan Chen
    Ziyan Chen
  • JYJinhuan Yang
    Jinhuan Yang
  • HYHaitao Yu
    Haitao Yu
  • JMJun Ma
    Jun Ma

Open Access
Publisher website
Google Scholar
  • 1 April 2023
    • other
    • Published by American Association for Cancer Research (AACR)
    • DOI:10.1158/1078-0432.22490242.v1
Abstract
Essential scripts for each model and the specific parameters of the models.
Keywords
  • SUPPLEMENTARY
  • MODELS
  • TABLE S2
  • LENVATINIB
  • SCRIPTS
  • MONOTHERAPY
  • MACHINE
  • RADIOMICS
Cited by 1 article
Scilit logo

Have questions? Email us at support@scilit.com

© 2026 MDPI (Basel, Switzerland) unless otherwise stated.

MDPI initiatives

  • MDPI Journals
  • MDPI Books
  • Sciforum
  • Proceedings Series
  • Preprints.org
  • SciProfiles
  • Encyclopedia
  • JAMS

Legal

  • Privacy
  • Terms
  • About
  • Contact
  • Disclaimer

Follow us

  • facebook icon
  • x icon
  • linkedin icon

Join us

  • Career

© 2026 MDPI (Basel, Switzerland) unless otherwise stated.