Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately.

Journal: The international journal of biochemistry & cell biology
Published Date: Jul 21, 2023

Abstract

OBJECTIVE: The accurate diagnosis of mixed-type gastric cancer from pathology images presents a formidable challenge for pathologists, given its intricate features and resemblance to other subtypes of gastric cancer. Artificial Intelligence has the potential to overcome this hurdle. This study aimed to leverage deep machine learning techniques to establish a precise and efficient diagnostic approach for this cancer type which can also predict the metastatic risk using two software, U-Net and QuPath, which have not been trialled in gastric cancers.

Authors

  • Xinjie Ning
    Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
  • Ruide Liu
    Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China.
  • Nan Wang
    Department of Gastroenterology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Xuewen Xiao
    Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China.
  • Siqi Wu
    Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Chenju Yi
    Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China; Shenzhen Key Laboratory of Chinese Medicine Active substance screening and Translational Research, Shenzhen 518107, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou 510080, China. Electronic address: yichj@mail.sysu.edu.cn.
  • Yulong He
    Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China. Electronic address: heyulong@sysush.com.
  • Dan Li
    State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, PR China.
  • Hui Chen
    Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China.

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