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Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks

Significance: Detection and characterization of coronary atherosclerotic plaques often need reviews of a large number of optical coherence tomography (OCT) imaging slices to make a clinical decision. However, it is a challenge to manually review all the slices and consider the interrelationship betw...

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Detalles Bibliográficos
Autores principales:	He, Chunliu, Wang, Jiaqiu, Yin, Yifan, Li, Zhiyong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Society of Photo-Optical Instrumentation Engineers 2020
Materias:	General
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481437/ https://www.ncbi.nlm.nih.gov/pubmed/32914606 http://dx.doi.org/10.1117/1.JBO.25.9.095003

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