Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.

Journal: BMC medicine
Published Date: Mar 29, 2021

Abstract

BACKGROUND: Targeted therapy and immunotherapy put forward higher demands for accurate lung cancer classification, as well as benign versus malignant disease discrimination. Digital whole slide images (WSIs) witnessed the transition from traditional histopathology to computational approaches, arousing a hype of deep learning methods for histopathological analysis. We aimed at exploring the potential of deep learning models in the identification of lung cancer subtypes and cancer mimics from WSIs.

Authors

  • Huan Yang
  • Lili Chen
    School of Mechatronics & Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China; School of Chongqing Key Laboratory of Urban Rail Transit Vehicle System Integration and Control, Chongqing Jiaotong University, Chongqing 400074, China.
  • Zhiqiang Cheng
    Department of Pathology, Shenzhen People's Hospital, Shenzhen, 518020, China.
  • Minglei Yang
    Biomedical Engineering, CT Collaboration of Siemens Healthineers, No. 278, Zhouzhu Road, Pudong New District, Shanghai, 201318, People's Republic of China.
  • Jianbo Wang
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
  • Chenghao Lin
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
  • Yuefeng Wang
    Thorough Images, 100102, Beijing, China.
  • Leilei Huang
    Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
  • Yangshan Chen
    Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
  • Sui Peng
    Center for Precision Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
  • Zunfu Ke
    Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China. kezunfu@mail.sysu.edu.cn.
  • Weizhong Li
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 500040, China.

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