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

Yeon Uk Jeong Soyoung Yoo Young Hak Kim Woo Hyun Shim

Published in: Journal of medical Internet research (2020)

We developed deep learning-based software for the anonymization of MR images that distorts the eyes, nose, and ears to prevent facial identification of the subject in reconstructed 3D images. It could be used to share medical big data for secondary research while making both data providers and recipients compliant with the relevant privacy regulations.

Keyphrases

deep learning
big data
artificial intelligence
machine learning
magnetic resonance
convolutional neural network
contrast enhanced
optical coherence tomography
healthcare
soft tissue
data analysis
bioinformatics analysis
magnetic resonance imaging