all AI news
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy. (arXiv:2209.11531v1 [eess.IV])
Sept. 26, 2022, 1:14 a.m. | Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas Maier
cs.CV updates on arXiv.org arxiv.org
Robust and reliable anonymization of chest radiographs constitutes an
essential step before publishing large datasets of such for research purposes.
The conventional anonymization process is carried out by obscuring personal
information in the images with black boxes and removing or replacing
meta-information. However, such simple measures retain biometric information in
the chest radiographs, allowing patients to be re-identified by a linkage
attack. Therefore, we see an urgent need to obfuscate the biometric information
appearing in the images. To the best …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Data Architect
@ S&P Global | IN - HYDERABAD SKYVIEW
Data Architect I
@ S&P Global | US - VA - CHARLOTTESVILLE 212 7TH STREET