Generating diagnostic report for medical image by high-middle-level visual information incorporation on double deep learning models.

Journal: Computer methods and programs in biomedicine
Published Date: Aug 11, 2020

Abstract

BACKGROUND AND OBJECTIVES: Writing diagnostic reports for medical images is a heavy and tedious work. The automatic generation of medical image diagnostic reports can assist doctors to reduce their workload and improve diagnosis efficiency. It is of great significance to introduce image caption algorithm into medical image processing. Existing approaches attempt to generate medical image diagnostic reports using image caption algorithms but without taking the accuracy of pathological information in generated diagnostic reports into account.

Authors

  • Xianhua Zeng
    Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing 400065, China. Electronic address: zengxh@cqupt.edu.cn.
  • Li Wen
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Conghui Ji
    Chongqing Key Laboratory of Image Cognition, College of Computer Science and Technology, Chongqing University of Posts and Telecommunication, Chongqing 400065, China.

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