Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions

Author:

Olender Max L.,Niu Yanan,Marlevi David,Edelman Elazer R.,Nezami Farhad R.

Funder

Mathworks Inc

Knut and Alice Wallenberg Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference48 articles.

1. Optical coherence tomography characterization of coronary lithoplasty for treatment of calcified lesions;Ali;JACC Cardiovasc. Imaging,2017

2. Methodology for fully automated segmentation and plaque characterization in intracoronary optical coherence tomography images;Athanasiou;J. Biomed. Opt.,2014

3. Atherosclerotic Plaque Characterization Methods Based on Coronary Imaging;Athanasiou,2017

4. Computational cardiology;Athanasiou;IEEE J. Biomed. Heal. Inform.,2019

5. A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography;Athanasiou,2019

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