Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning

Introduction. With biomedical imaging research increasingly using large datasets, it becomes critical to find operator-free methods to quality control the data collected and the associated analysis. Attempts to use artificial intelligence (AI) to perform automated quality control (QC) for both singl...

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Detalles Bibliográficos
Autores principales: Pontoriero, Antonella D., Nordio, Giovanna, Easmin, Rubaida, Giacomel, Alessio, Santangelo, Barbara, Jahuar, Sameer, Bonoldi, Ilaria, Rogdaki, Maria, Turkheimer, Federico, Howes, Oliver, Veronese, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Publishers 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404039/
https://www.ncbi.nlm.nih.gov/pubmed/34289438
http://dx.doi.org/10.1016/j.cmpb.2021.106239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404039/
https://www.ncbi.nlm.nih.gov/pubmed/34289438
http://dx.doi.org/10.1016/j.cmpb.2021.106239

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