Facing privacy in neuroimaging: removing facial features degrades performance of image analysis methods

BACKGROUND: Recent studies have created awareness that facial features can be reconstructed from high-resolution MRI. Therefore, data sharing in neuroimaging requires special attention to protect participants’ privacy. Facial features removal (FFR) could alleviate these concerns. We assessed the imp...

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Detalles Bibliográficos
Autores principales: de Sitter, A., Visser, M., Brouwer, I., Cover, K. S., van Schijndel, R. A., Eijgelaar, R. S., Müller, D. M. J., Ropele, S., Kappos, L., Rovira, Á., Filippi, M., Enzinger, C., Frederiksen, J., Ciccarelli, O., Guttmann, C. R. G., Wattjes, M. P., Witte, M. G., de Witt Hamer, P. C., Barkhof, F., Vrenken, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Magnetic Resonance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957560/
https://www.ncbi.nlm.nih.gov/pubmed/31691120
http://dx.doi.org/10.1007/s00330-019-06459-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957560/
https://www.ncbi.nlm.nih.gov/pubmed/31691120
http://dx.doi.org/10.1007/s00330-019-06459-3

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