Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke

OBJECTIVE: In this study, we investigate whether a Convolutional Neural Network (CNN) can generate informative parametric maps from the pre-processed CT perfusion data in patients with acute ischemic stroke in a clinical setting. METHODS: The CNN training was performed on a subset of 100 pre-process...

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Detalles Bibliográficos
Autores principales: Gava, Umberto A., D’Agata, Federico, Tartaglione, Enzo, Renzulli, Riccardo, Grangetto, Marco, Bertolino, Francesca, Santonocito, Ambra, Bennink, Edwin, Vaudano, Giacomo, Boghi, Andrea, Bergui, Mauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034033/
https://www.ncbi.nlm.nih.gov/pubmed/36970658
http://dx.doi.org/10.3389/fninf.2023.852105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034033/
https://www.ncbi.nlm.nih.gov/pubmed/36970658
http://dx.doi.org/10.3389/fninf.2023.852105

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