Fully automated coronary artery calcium quantification on electrocardiogram-gated non-contrast cardiac computed tomography using deep-learning with novel Heart-labelling method

AIMS: To develop an artificial intelligence (AI)-model which enables fully automated accurate quantification of coronary artery calcium (CAC), using deep learning (DL) on electrocardiogram (ECG)-gated non-contrast cardiac computed tomography (gated CCT) images. METHODS AND RESULTS: Retrospectively,...

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Detalles Bibliográficos
Autores principales: Takahashi, Daigo, Fujimoto, Shinichiro, Nozaki, Yui O, Kudo, Ayako, Kawaguchi, Yuko O, Takamura, Kazuhisa, Hiki, Makoto, Sato, Eisuke, Tomizawa, Nobuo, Daida, Hiroyuki, Minamino, Tohru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683040/
https://www.ncbi.nlm.nih.gov/pubmed/38035036
http://dx.doi.org/10.1093/ehjopen/oead113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683040/
https://www.ncbi.nlm.nih.gov/pubmed/38035036
http://dx.doi.org/10.1093/ehjopen/oead113

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