Bibliometric analysis of the application of deep learning in cancer from 2015 to 2023.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published Date: Jul 4, 2024

Abstract

BACKGROUND: Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the research status and hotspots of the application of DL in cancer.

Authors

  • Ruiyu Wang
    Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, United States.
  • Shu Huang
    Department of Gastroenterology, the People's Hospital of Lianshui, Huaian, China.
  • Ping Wang
    School of Chemistry and Chemical Engineering, Shandong University of Technology, 255049, Zibo, PR China. Electronic address: wangping876@163.com.
  • Xiaomin Shi
    Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China.
  • Shiqi Li
    Department of Neurosurgery, Shanghai Medical School, Huashan Hospital, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China.
  • Yusong Ye
    Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Lei Shi
  • Xian Zhou
    Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Xiaowei Tang
    Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China. solitude5834@hotmail.com.

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