Research related to the diagnosis of prostate cancer based on machine learning medical images: A review.

Journal: International journal of medical informatics
Published Date: Nov 2, 2023

Abstract

BACKGROUND: Prostate cancer is currently the second most prevalent cancer among men. Accurate diagnosis of prostate cancer can provide effective treatment for patients and greatly reduce mortality. The current medical imaging tools for screening prostate cancer are mainly MRI, CT and ultrasound. In the past 20 years, these medical imaging methods have made great progress with machine learning, especially the rise of deep learning has led to a wider application of artificial intelligence in the use of image-assisted diagnosis of prostate cancer.

Authors

  • Xinyi Chen
    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China. Electronic address: c2257873708@163.com.
  • Xiang Liu
    College of Agricultural Science and Engineering, Hohai University, Nanjing 210098, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Anhui Jianzhu University, Hefei 230009, China.
  • Yuke Wu
    School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China. Electronic address: M325122219@sues.edu.cn.
  • Zhenglei Wang
    Department of Medical Imaging, Shanghai Electric Power Hospital, Shanghai 201620, China. Electronic address: hanqi_willis@163.com.
  • Shuo Hong Wang
    Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA. Electronic address: wangsh@fas.harvard.edu.

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