Clinical validation of a commercially available deep learning software for synthetic CT generation for brain

BACKGROUND: Most studies on synthetic computed tomography (sCT) generation for brain rely on in-house developed methods. They often focus on performance rather than clinical feasibility. Therefore, the aim of this work was to validate sCT images generated using a commercially available software, bas...

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Detalles Bibliográficos
Autores principales: Lerner, Minna, Medin, Joakim, Jamtheim Gustafsson, Christian, Alkner, Sara, Siversson, Carl, Olsson, Lars E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025544/
https://www.ncbi.nlm.nih.gov/pubmed/33827619
http://dx.doi.org/10.1186/s13014-021-01794-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025544/
https://www.ncbi.nlm.nih.gov/pubmed/33827619
http://dx.doi.org/10.1186/s13014-021-01794-6

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