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Radiological Physics and Technology
Erschienen in: Radiological Physics and Technology 2/2021

12.03.2021 | Computed Tomography

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

verfasst von: Junji Morishita, Yasuyuki Ueda

Erschienen in: Radiological Physics and Technology | Ausgabe 2/2021

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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.
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Metadaten
Titel
New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology
verfasst von
Junji Morishita
Yasuyuki Ueda
Publikationsdatum
12.03.2021
Verlag
Springer Singapore
Erschienen in
Radiological Physics and Technology / Ausgabe 2/2021
Print ISSN: 1865-0333
Elektronische ISSN: 1865-0341
DOI
https://doi.org/10.1007/s12194-021-00611-9

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