Phantom-based evaluation of radiomics feature stability for low-dose CT lung cancer screening - Top-Institutions - MDSpire

Assessment of Radiomic Feature Consistency in Low-Dose CT Screening for Lung Cancer Using Phantom Models

  • By

  • Sunyi Zheng

  • Xiaomeng Yang

  • Hongren Wang

  • Zhipeng Gao

  • Pengchun Ye

  • Weiping Wang

  • Wenhua Li

  • Donghua Meng

  • Shuai Zhang

  • Wenjia Zhang

  • Houpu Liu

  • Shuyuan Huang

  • Chunlin Zhang

  • Jing Wang

  • Jihui Hao

  • Xiaonan Cui

  • July 21, 2026

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    The University of Texas MD Anderson Cancer Center
    The University of Texas MD Anderson Cancer Center

    Houston, Texas

    Key Differentiators

    • Radiology
    • Oncology

  • #2

    Brock University
    Brock University

    St. Catharines, Ontario

    Key Differentiators

    • Radiology

  • #3

    First Affiliated Hospital of Zhengzhou University
    First Affiliated Hospital of Zhengzhou University

    Zhengzhou, Henan

    Key Differentiators

    • Radiology

  • #4

    American College of Radiology
    American College of Radiology

    Reston, Virginia

    Key Differentiators

    • Radiology

  • #5

    National Lung Cancer Screening Trial
    National Lung Cancer Screening Trial

    Bethesda, Maryland

    Key Differentiators

    • Radiology

Original Source(s)

Phantom-based evaluation of radiomics feature stability for low-dose CT lung cancer screening

  • by Sunyi Zheng, Xiaomeng Yang, Hongren Wang, Zhipeng Gao, Pengchun Ye, Weiping Wang, Wenhua Li, Donghua Meng, Shuai Zhang, Wenjia Zhang, Houpu Liu, Shuyuan Huang, Chunlin Zhang, Jing Wang, Jihui Hao, Xiaonan Cui

  • July 21, 2026

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