Segmentation of Coronary Calcified Plaque in Intravascular OCT Images Using a Two-Step Deep Learning Approach

We developed a fully automated, two-step deep learning approach for characterizing coronary calcified plaque in intravascular optical coherence tomography (IVOCT) images. First, major calcification lesions were detected from an entire pullback using a 3D convolutional neural network (CNN). Second, a...

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Detalles Bibliográficos
Autores principales: LEE, JUHWAN, GHARAIBEH, YAZAN, KOLLURU, CHAITANYA, ZIMIN, VLADISLAV N., DALLAN, LUIS AUGUSTO PALMA, KIM, JUSTIN NAMUK, BEZERRA, HIRAM G., WILSON, DAVID L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885992/
https://www.ncbi.nlm.nih.gov/pubmed/33598377
http://dx.doi.org/10.1109/access.2020.3045285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885992/
https://www.ncbi.nlm.nih.gov/pubmed/33598377
http://dx.doi.org/10.1109/access.2020.3045285

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