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

ABSTRACT:

Background

High-resolution medical images that include facial regions can be used to recognize the subject's face when reconstructing 3-dimensional (3D)-rendered images from 2-dimensional (2D) sequential images, which might constitute a risk of infringement of personal information when sharing data. According to the Health Insurance Portability and Accountability Act (HIPAA) privacy rules, full-face photographic images and any comparable image are direct identifiers and considered as protected health information. Moreover, the General Data Protection Regulation (GDPR) categorizes facial images as biometric data and stipulates that special restrictions should be placed on the processing of biometric data.

Objective

This study aimed to develop software that can remove the head

SUBMITTER: Jeong YU 

PROVIDER: S-EPMC7759440 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature