New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology.
Biological fingerprints
Biometric verification
Biometrics
Forensic identification
Image recognition
Positive identification
Journal
Radiological physics and technology
ISSN: 1865-0341
Titre abrégé: Radiol Phys Technol
Pays: Japan
ID NLM: 101467995
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
11
02
2021
accepted:
28
02
2021
revised:
26
02
2021
pubmed:
13
3
2021
medline:
31
8
2021
entrez:
12
3
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33710498
doi: 10.1007/s12194-021-00611-9
pii: 10.1007/s12194-021-00611-9
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
123-133Subventions
Organisme : Japan Society for the Promotion of Science
ID : JP14570894
Organisme : Japan Society for the Promotion of Science
ID : JP18591350
Organisme : Japan Society for the Promotion of Science
ID : JP15K0896
Organisme : Japan Society for the Promotion of Science
ID : JP19K08122
Organisme : Japan Society for the Promotion of Science
ID : JP18K15590
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