AIMC Topic: Plaque, Atherosclerotic

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Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

Journal of biomedical optics Oct 1, 2019
We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images using a comprehensive set of handcrafted features. We incorporated features developed in previous st...
Humans Machine Learning Algorithms Databases, Factual Support Vector Machine Tomography, Optical Coherence Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Endovascular Procedures Plaque, Atherosclerotic
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Optical Coherence Tomography Vulnerable Plaque Segmentation Based on Deep Residual U-Net.

Reviews in cardiovascular medicine Sep 30, 2019
Automatic and accurate segmentation of intravascular optical coherence tomography imagery is of great importance in computer-aided diagnosis and in treatment of cardiovascular diseases. However, this task has not been well addressed for two reasons. ...
Humans Prognosis Reproducibility of Results Deep Learning Predictive Value of Tests Tomography, Optical Coherence Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Entropy
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Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation.

Database : the journal of biological databases and curation Jan 1, 2018
http://biomodels.caltech.edu.
Humans Databases, Factual Atherosclerosis Biological Ontologies Electronic Data Processing Plaque, Atherosclerotic Data Curation Models, Cardiovascular
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