Automated Clinical Decision Support for Coronary Plaques Characterization from Optical Coherence Tomography Imaging with Fused Neural Networks

Automated Clinical Decision Support for Coronary Plaques Characterization from Optical Coherence Tomography Imaging with Fused Neural Networks

Deep Neural Networks (DNNs) are nurturing clinical decision support systems for the detection and accurate modeling of coronary arterial plaques. However, efficient plaque characterization in time-constrained settings is still an open problem. The purpose of this study is to develop a novel automate...

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Bibliographic Details
Main Authors: Haroon Zafar, Junaid Zafar, Faisal Sharif
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Optics
Subjects:
optical coherence tomography
classification
arterial plaques
lumen
objective function
convolutional neural networks
Online Access:https://www.mdpi.com/2673-3269/3/1/2

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