Coronary Plaque Characterization From Optical Coherence Tomography Imaging With a Two-Pathway Cascade Convolutional Neural Network Architecture

Coronary Plaque Characterization From Optical Coherence Tomography Imaging With a Two-Pathway Cascade Convolutional Neural Network Architecture

Background: The morphological structure and tissue composition of a coronary atherosclerotic plaque determine its stability, which can be assessed by intravascular optical coherence tomography (OCT) imaging. However, plaque characterization relies on the interpretation of large datasets by well-trai...

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Bibliographic Details
Main Authors: Yifan Yin, Chunliu He, Biao Xu, Zhiyong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
optical coherence tomography
convolutional neural network
plaque characterization
cascaded structure
two-pathway architecture
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.670502/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2021.670502/full

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