New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology
New solutions for automated image recognition and identification: challenges to radiologic technology and forensic pathology
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自动图像识别和识别的新解决方案：放射技术和法医病理学的挑战
DOI：
10.1007/s12194-021-00611-9
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发表时间：
2021
影响因子：
1.6
通讯作者：
Junji MORISHITA Yasuyuki UEDA
中科院分区：
文献类型：
--
作者：
Yamada M ;Nakahara T ;Yamada Y ;Imanishi N ;Nishimaki T ;Ogawa M ;Jinzaki M;Junji MORISHITA Yasuyuki UEDA
本文概述了生物特征识别技术的历史，目前的现状，最初的生物指纹技术的数字胸部X射线摄影，和病人的身份验证过程中的医疗成像，如计算机断层扫描和磁共振成像。为临床图像开发的自动图像识别和识别（无需元数据）也可以应用于大规模灾难中的受害者或其他身份不明的个人的识别。在放射学技术、患者安全、法医病理学和法医牙科学领域，适应于广泛的最新成像模式的方法的开发仍处于早期阶段。然而，其在实践中的重要性将在未来继续增加。
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.