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Mar 1, 2017 · The state-of-the-art approach to imaging blood vessels is intravascular optical coherence tomography (IVOCT). However, currently, this is an ...
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Feb 13, 2020 · For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning ...
Missing: Volumetric | Show results with:Volumetric
Feb 18, 2016 · The visualization will highlight different plaque types and enable quick identification of regions at risk for thrombosis. In this paper, we ...
The state-of-the-art approach to imaging blood vessels is intravascular optical coherence tomography (IVOCT). However, currently, this is an offline approach ...
"Automated tissue characterization of in vivo atherosclerotic plaques by intravascular optical coherence tomography images." Biomedical Optics Express 4(7): ...
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Optical coherence tomography (OCT) allows highly accurate diagnosis of atherosclerotic plaques, including measurement of the thickness of fibrous caps, ...
Oct 4, 2019 · We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography ...
Aug 18, 2022 · This study sought to develop a deep learning-based diagnostic algorithm for plaque vulnerability by analyzing intravascular optical ...
Missing: Volumetric | Show results with:Volumetric
This study developed an AI model to automatically characterize atherosclerotic plaque components on intravascular optical coherence tomography images, ...
Missing: Volumetric | Show results with:Volumetric
May 17, 2022 · We discuss four categories based on the feature being processed, namely: coronary lumen; artery layers; plaque characteristics and subtypes; and ...