Convolutional neural networks for automatic image quality control and EARL compliance of PET images

BACKGROUND: Machine learning studies require a large number of images often obtained on different PET scanners. When merging these images, the use of harmonized images following EARL-standards is essential. However, when including retrospective images, EARL accreditation might not have been in place...

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Detalles Bibliográficos
Autores principales: Pfaehler, Elisabeth, Euba, Daniela, Rinscheid, Andreas, Hoekstra, Otto S., Zijlstra, Josee, van Sluis, Joyce, Brouwers, Adrienne H., Lapa, Constantin, Boellaard, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363539/
https://www.ncbi.nlm.nih.gov/pubmed/35943622
http://dx.doi.org/10.1186/s40658-022-00468-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363539/
https://www.ncbi.nlm.nih.gov/pubmed/35943622
http://dx.doi.org/10.1186/s40658-022-00468-w

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