Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts

OBJECTIVE: This study aimed to validate a deep learning-based fully automatic calcium scoring (coronary artery calcium [CAC]_auto) system using previously published cardiac computed tomography (CT) cohort data with the manually segmented coronary calcium scoring (CAC_hand) system as the reference st...

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Detalles Bibliográficos
Autores principales: Lee, June-Goo, Kim, HeeSoo, Kang, Heejun, Koo, Hyun Jung, Kang, Joon-Won, Kim, Young-Hak, Yang, Dong Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Cardiovascular Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546141/
https://www.ncbi.nlm.nih.gov/pubmed/34402248
http://dx.doi.org/10.3348/kjr.2021.0148

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546141/
https://www.ncbi.nlm.nih.gov/pubmed/34402248
http://dx.doi.org/10.3348/kjr.2021.0148

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