New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology

Junji Morishita, Yasuyuki Ueda

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)

Abstract

This paper outlines the history of biometrics for personal identification, the current status of the initial biological fingerprint techniques for digital chest radiography, and patient verification during medical imaging, such as computed tomography and magnetic resonance imaging. Automated image recognition and identification developed for clinical images without metadata could also be applied to the identification of victims in mass disasters or other unidentified individuals. The development of methods that are adaptive to a wide range of recent imaging modalities in the fields of radiologic technology, patient safety, forensic pathology, and forensic odontology is still in its early stages. However, its importance in practice will continue to increase in the future.

Original languageEnglish
Pages (from-to)123-133
Number of pages11
JournalRadiological physics and technology
Volume14
Issue number2
DOIs
Publication statusPublished - Jun 2021

All Science Journal Classification (ASJC) codes

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging

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