A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.

Journal: Oral oncology
Published Date: Jun 8, 2022

Abstract

OBJECTIVE: Tissue slides from Oral cavity squamous cell carcinoma (OC-SCC), particularly the epithelial regions, hold morphologic features that are both diagnostic and prognostic. Yet, previously developed approaches for automated epithelium segmentation in OC-SCC have not been independently tested in a multi-center setting. In this study, we aimed to investigate the effectiveness and applicability of a convolutional neural network (CNN) model to perform epithelial segmentation using digitized H&E-stained diagnostic slides from OC-SCC patients in a multi-center setting.

Authors

  • Yuxin Wu
  • Can F Koyuncu
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
  • Paula Toro
    Department of Pathology, Universidad Nacional de Colombia, Bogotá, Colombia.
  • German Corredor
    Universidad Nacional de Colombia, Bogotá D.C, Colombia.
  • Qianyu Feng
    College of Computer Science, Shaanxi Normal University, Xian, China.
  • Christina Buzzy
    Department of Urology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
  • Matthew Old
    Department of Otolaryngology, Ohio State University Medical Center, OH, USA.
  • Theodoros Teknos
    UH Seidman Cancer Center, Cleveland, Ohio, United States of America.
  • Stephen Thaddeus Connelly
    Department of Oral and Maxillofacial Surgery, San Francisco Veterans Affairs Health Care System, University of California, San Francisco, San Francisco, CA, USA.
  • Richard C Jordan
    Departments of Orofacial Sciences, Pathology and Radiation Oncology, University of California San Francisco, CA, USA.
  • Krystle A Lang Kuhs
    Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Cheng Lu
    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, People's Republic of China. lv_cheng0816@163.com.
  • James S Lewis
    Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Anant Madabhushi
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

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