Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features

For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning approach, which combined deep-learning convolutional and hand-crafted, lumen morphological features. Processing was done on innate A-line units with labels fibro...

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Detalles Bibliográficos
Autores principales: Lee, Juhwan, Prabhu, David, Kolluru, Chaitanya, Gharaibeh, Yazan, Zimin, Vladislav N., Dallan, Luis A. P., Bezerra, Hiram G., Wilson, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018759/
https://www.ncbi.nlm.nih.gov/pubmed/32054895
http://dx.doi.org/10.1038/s41598-020-59315-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018759/
https://www.ncbi.nlm.nih.gov/pubmed/32054895
http://dx.doi.org/10.1038/s41598-020-59315-6

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