Translating medical image to radiological report: Adaptive multilevel multi-attention approach.

Journal: Computer methods and programs in biomedicine
Published Date: May 4, 2022

Abstract

BACKGROUND AND OBJECTIVE: Medical imaging techniques are widely employed in disease diagnosis and treatment. A readily available medical report can be a useful tool in assisting an expert for investigating the patient's health. A radiologist can benefit from an automatic medical image to radiological report translation system while preparing a final report. Previous attempts on automatic medical report generation task includes image captioning algorithms without taking domain-specific visual and textual contents into account, thus arises the question about credibility of generated report.

Authors

  • Gaurav O Gajbhiye
    CVPR Lab, SGGS Institute of Engineering and Technology, Nanded, India. Electronic address: gajbhiyegaurav@sggs.ac.in.
  • Abhijeet V Nandedkar
    CVPR Lab, SGGS Institute of Engineering and Technology, Nanded, India. Electronic address: avnandedkar@sggs.ac.in.
  • Ibrahima Faye
    CISIR, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Malaysia. Electronic address: ibrahima_faye@utp.edu.my.

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