New Model and Public Online Prediction Platform for Risk Stratification of Vocal Cord Leukoplakia.

Journal: The Laryngoscope
PMID: 38828682

Abstract

OBJECTIVE: To extract texture features from vocal cord leukoplakia (VCL) images and establish a VCL risk stratification prediction model using machine learning (ML) techniques.

Authors

  • Zufei Li
    Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, People's Republic of China.
  • Jinghui Lu
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, U.S.A.
  • Baiwen Zhang
    Biomedical Engineering Department, College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
  • Joshua Si
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, U.S.A.
  • Hong Zhang
    Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
  • Zhen Zhong
    Department of Otorhinolaryngology-Head and Neck Surgery, Peking University First Hospital, Beijing, China.
  • Shuai He
    Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, 1 Dongjiaominxiang, Dongcheng District, Beijing, 100730, People's Republic of China.
  • Wenli Cai
    Radiology Imaging Laboratory, Harvard Medical School, Boston, Massachusetts 02114, USA.
  • Tiancheng Li
    School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.

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