Automated Patient Identity Recognition by Analysis of Chest Radiograph Features
Author:
Publisher
Elsevier BV
Subject
Radiology, Nuclear Medicine and imaging
Reference8 articles.
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2. Potential usefulness of biological fingerprints in chest radiographs for automated patient recognition and identification;Morishita;Acad Radiol,2004
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1. Screening Patient Misidentification Errors Using a Deep Learning Model of Chest Radiography: A Seven Reader Study;Journal of Imaging Informatics in Medicine;2024-09-11
2. Patient Re-Identification Based on Deep Metric Learning in Trunk Computed Tomography Images Acquired from Devices from Different Vendors;Journal of Imaging Informatics in Medicine;2024-02-16
3. Patient Identification Based on Deep Metric Learning for Preventing Human Errors in Follow-up X-Ray Examinations;Journal of Digital Imaging;2023-06-12
4. Biological fingerprint for patient verification using trunk scout views at various scan ranges in computed tomography;Radiological Physics and Technology;2022-09-26
5. SimChest: A Novel Similarity Measurement Agnostic to Change in Follow-Up Chest Radiograph Pairs Via a Supervised Contrastive Learning Model;SSRN Electronic Journal;2022
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