Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacyResearch in context
Summary: Background: Facial recognition software (FRS) has historically been perceived as lacking the capability to identify individuals from cross-sectional medical images. Utilising such data for identification purposes was considered infeasible due to the substantial computational power and spec...
Saved in:
| Main Authors: | Katharina Steeg, Evelyn Bohrer, Stefan Benjamin Schäfer, Viet Duc Vu, Jan Scherberich, Anton George Windfelder, Gabriele Anja Krombach |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | EClinicalMedicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589537024005091 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Privacy-Preserving Face and Hair Swapping in Real-Time With a GAN-Generated Face Image
by: Dinh Tuan Tran, et al.
Published: (2024-01-01) -
Facial Dataset Anonymization: Striking the Balance Between Privacy and Utility
by: Emna Bensaid, et al.
Published: (2024-01-01) -
A novel approach for face privacy protection based on surveillance video in complex scene
by: Chi ZHANG, et al.
Published: (2021-01-01) -
Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabiriz,I, Vicent, et al.
Published: (2024) -
Effectiveness of Installment Payment Plan Program through Face-to-Face Service Channels and Non-Face-to-Face Service Channels
by: Enggartyas Bagaskara, et al.
Published: (2024-12-01)