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De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology.

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第一作者： Yeon Uk,Jeong

第一单位： Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

作者： Yeon Uk,Jeong ^[1] ; Soyoung,Yoo ^[2] ; Young-Hak,Kim ^[3] ; Woo Hyun,Shim ^[4]

作者单位： Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[1] Human Research Protection Center, Asan Institute of Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[2] Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.;Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[3] Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.;Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. ^[4]

关键词 GDPR HIPAA de-identification deep learning facial feature detection medical image personal information protection privacy protection

主题词面部(Face);女(雌)性(Female);人类(Humans);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);软件(Software)

DOI 10.2196/22739

PMID 33208302

发布时间 2021-03-15

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