Automated cardiovascular risk categorization through AI-driven coronary calcium quantification in cardiac PET acquired attenuation correction CT

BACKGROUND: We present an automatic method for coronary artery calcium (CAC) quantification and cardiovascular risk categorization in CT attenuation correction (CTAC) scans acquired at rest and stress during cardiac PET/CT. The method segments CAC according to visual assessment rather than the commo...

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Detalles Bibliográficos
Autores principales: van Velzen, S. G. M., Dobrolinska, M. M., Knaapen, P., van Herten, R. L. M., Jukema, R., Danad, I., Slart, R. H. J. A., Greuter, M. J. W., Išgum, I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261233/
https://www.ncbi.nlm.nih.gov/pubmed/35851642
http://dx.doi.org/10.1007/s12350-022-03047-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261233/
https://www.ncbi.nlm.nih.gov/pubmed/35851642
http://dx.doi.org/10.1007/s12350-022-03047-9

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