Potential use of deep learning techniques for postmortem imaging.

Journal: Forensic science, medicine, and pathology
Published Date: Sep 29, 2020

Abstract

The use of postmortem computed tomography in forensic medicine, in addition to conventional autopsy, is now a standard procedure in several countries. However, the large number of cases, the large amount of data, and the lack of postmortem radiology experts have pushed researchers to develop solutions that are able to automate diagnosis by applying deep learning techniques to postmortem computed tomography images. While deep learning techniques require a good understanding of image analysis and mathematical optimization, the goal of this review was to provide to the community of postmortem radiology experts the key concepts needed to assess the potential of such techniques and how they could impact their work.

Authors

  • Akos Dobay
    Department of Forensic Genetics, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
  • Jonathan Ford
    Department of Radiology, University of South Florida Morsani College of Medicine, 2 Tampa General Circle STC 6097, Tampa, FL, 33606, USA.
  • Summer Decker
    Department of Radiology, University of South Florida Morsani College of Medicine, 2 Tampa General Circle STC 6097, Tampa, FL, 33606, USA.
  • Garyfalia Ampanozi
    Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.
  • Sabine Franckenberg
    Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland.
  • Raffael Affolter
    Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, CH-8057, Zurich, Switzerland.
  • Till Sieberth
    Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.
  • Lars C Ebert
    Department of Forensic Medicine and Imaging, Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland. lars.ebert@virtopsy.com.

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