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Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations

Biological fingerprints extracted from clinical images can be used for patient identity verification to determine misfiled clinical images in picture archiving and communication systems. However, such methods have not been incorporated into clinical use, and their performance can degrade with variab...

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Detalles Bibliográficos
Autores principales: Ueda, Yasuyuki, Morishita, Junji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501972/
https://www.ncbi.nlm.nih.gov/pubmed/37308675
http://dx.doi.org/10.1007/s10278-023-00850-9