A semi-supervised convolutional neural network for diagnosis of pancreatic ductal adenocarcinoma based on EUS-FNA cytological images.

Journal: BMC cancer
PMID:

Abstract

BACKGROUND: The cytological diagnostic process of EUS-FNA smears is time-consuming and manpower-intensive, and the conclusion could be subjective and controversial. Moreover, the relative lack of cytopathologists has limited the widespread implementation of Rapid on-site evaluation (ROSE) presently. Therefore, this study aimed to establish an AI system for the detection of pancreatic ductal adenocarcinoma (PDAC) based on EUS-FNA cytological images.

Authors

  • Dong Fang
    Faculty of Materials Science and Engineering, Kunming University of Science and Technology Kunming 650093 China.
  • Yigeng Huang
    Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China.
  • Suwen Li
    Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China.
  • Chen Shi
    Sino-Dutch R&D Centre for Future Wastewater Treatment Technologies, Key Laboratory of Urban Stormwater System and Water Environment, Beijing University of Civil Engineering and Architecture Beijing 100044 China xdhao@hotmail.com.
  • Junjun Bao
    Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China.
  • Dandan Du
    Department of Cytopathology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China.
  • Lanlan Xuan
    Department of Pathology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, 246004, Anhui Province, China.
  • Leping Ye
    Department of Gastroenterology, Anqing Hospital Affiliated to Anhui Medical University, Anqing, 246004, Anhui Province, China.
  • Yanping Zhang
    Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, ‡School of Computer Science and Technology, and §Center of Information Support & Assurance Technology, Anhui University , Hefei, 230601 Anhui, China.
  • Chenglin Zhu
    Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
  • Hailun Zheng
    The First Affiliated Hospital of Bengbu Medical University, Yanhuai Road, Bengbu, 233000, China. 7369102@qq.com.
  • Zhenwang Shi
    Department of Gastroenterology, The Second People's Hospital of Hefei, Hefei, 230011, Anhui Province, China.
  • Qiao Mei
    Department of Gastroenterology, First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Huanqin Wang
    Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui Province, China. hqwang@iim.ac.cn.