Deep neural networks for A-line-based plaque classification in coronary intravascular optical coherence tomography images

We develop neural-network-based methods for classifying plaque types in clinical intravascular optical coherence tomography (IVOCT) images of coronary arteries. A single IVOCT pullback can consist of [Formula: see text] microscopic-resolution images, creating both a challenge for physician interpret...

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Detalles Bibliográficos
Autores principales: Kolluru, Chaitanya, Prabhu, David, Gharaibeh, Yazan, Bezerra, Hiram, Guagliumi, Giulio, Wilson, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2018
Materias:
Computer-Aided Diagnosis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6275844/
https://www.ncbi.nlm.nih.gov/pubmed/30525060
http://dx.doi.org/10.1117/1.JMI.5.4.044504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6275844/
https://www.ncbi.nlm.nih.gov/pubmed/30525060
http://dx.doi.org/10.1117/1.JMI.5.4.044504

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