Changing the face of neuroimaging research: Comparing a new MRI de-facing technique with popular alternatives

Recent advances in automated face recognition algorithms have increased the risk that de-identified research MRI scans may be re-identifiable by matching them to identified photographs using face recognition. A variety of software exist to de-face (remove faces from) MRI, but their ability to preven...

Descripción completa

Detalles Bibliográficos
Autores principales: Schwarz, Christopher G., Kremers, Walter K., Wiste, Heather J., Gunter, Jeffrey L., Vemuri, Prashanthi, Spychalla, Anthony J., Kantarci, Kejal, Schultz, Aaron P., Sperling, Reisa A., Knopman, David S., Petersen, Ronald C., Jack, Clifford R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154695/
https://www.ncbi.nlm.nih.gov/pubmed/33582276
http://dx.doi.org/10.1016/j.neuroimage.2021.117845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154695/
https://www.ncbi.nlm.nih.gov/pubmed/33582276
http://dx.doi.org/10.1016/j.neuroimage.2021.117845

Ejemplares similares