Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients

Automatic Classification of A-Lines in Intravascular OCT Images Using Deep Learning and Estimation of Attenuation Coefficients

Intravascular Optical Coherence Tomography (IVOCT) images provide important insight into every aspect of atherosclerosis. Specifically, the extent of plaque and its type, which are indicative of the patient’s condition, are better assessed by OCT images in comparison to other in vivo modalities. A l...

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Bibliographic Details
Main Authors: Grigorios-Aris Cheimariotis, Maria Riga, Kostas Haris, Konstantinos Toutouzas, Aggelos K. Katsaggelos, Nicos Maglaveras
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
intravascular optical coherence tomography
atheromatic plaque
deep learning
CNN
classification
Online Access:https://www.mdpi.com/2076-3417/11/16/7412

Internet

https://www.mdpi.com/2076-3417/11/16/7412

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