Novel near-infrared spectroscopy–intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization

AIMS: Coronary computed tomography angiography (CCTA) is inferior to intravascular imaging in detecting plaque morphology and quantifying plaque burden. We aim to, for the first time, train a deep-learning (DL) methodology for accurate plaque quantification and characterization in CCTA using near-in...

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Detalles Bibliográficos
Autores principales: Ramasamy, Anantharaman, Sokooti, Hessam, Zhang, Xiaotong, Tzorovili, Evangelia, Bajaj, Retesh, Kitslaar, Pieter, Broersen, Alexander, Amersey, Rajiv, Jain, Ajay, Ozkor, Mick, Reiber, Johan H C, Dijkstra, Jouke, Serruys, Patrick W, Moon, James C, Mathur, Anthony, Baumbach, Andreas, Torii, Ryo, Pugliese, Francesca, Bourantas, Christos V
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/PMC10615127/
https://www.ncbi.nlm.nih.gov/pubmed/37908441
http://dx.doi.org/10.1093/ehjopen/oead090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615127/
https://www.ncbi.nlm.nih.gov/pubmed/37908441
http://dx.doi.org/10.1093/ehjopen/oead090

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