all AI news
Privacy Protection in MRI Scans Using 3D Masked Autoencoders
March 19, 2024, 4:51 a.m. | Lennart Alexander Van der Goten, Kevin Smith
cs.CV updates on arXiv.org arxiv.org
Abstract: MRI scans provide valuable medical information, however they also contain sensitive and personally identifiable information that needs to be protected. Whereas MRI metadata is easily sanitized, MRI image data is a privacy risk because it contains information to render highly-realistic 3D visualizations of a patient's head, enabling malicious actors to possibly identify the subject by cross-referencing a database. Data anonymization and de-identification is concerned with ensuring the privacy and confidentiality of individuals' personal information. Traditional …
abstract arxiv autoencoders cs.ai cs.cv data head however image image data information medical metadata mri patient personally identifiable information privacy protection risk scans type
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 5 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 5 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne