Development of a deep-learning algorithm for age estimation on CT images of the vertebral column.

Journal: Legal medicine (Tokyo, Japan)
PMID: 38604090

Abstract

PURPOSE: The accurate age estimation of cadavers is essential for their identification. However, conventional methods fail to yield adequate age estimation especially in elderly cadavers. We developed a deep learning algorithm for age estimation on CT images of the vertebral column and checked its accuracy.

Authors

  • Ikuo Kawashita
    Department of Clinical Radiology, Hiroshima International University, 555-36, kurosegakuendai, Higashihiroshima, Hiroshima, 739-2695, Japan.
  • Wataru Fukumoto
    Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Hidenori Mitani
    Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Keigo Narita
    Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.
  • Keigo Chosa
    Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Yuko Nakamura
    Department of Diagnostic Radiology, Graduate School of Biomedical and Health Science, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Masataka Nagao
    Center for Cause of Death Investigation Research, Graduate School of Biomedical and Health Science, Hiroshima University 1-2-3 Kasumi, Minamiku, Hiroshima 734-8551, Japan.
  • Kazuo Awai
    Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan.

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