GANs-Based Intracoronary Optical Coherence Tomography Image Augmentation for Improved Plaques Characterization Using Deep Neural Networks

GANs-Based Intracoronary Optical Coherence Tomography Image Augmentation for Improved Plaques Characterization Using Deep Neural Networks

Data augmentation using generative adversarial networks (GANs) is vital in the creation of new instances that include imaging modality tasks for improved deep learning classification. In this study, conditional generative adversarial networks (cGANs) were used on a dataset of OCT (Optical Coherence...

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Bibliographic Details
Main Authors: Haroon Zafar, Junaid Zafar, Faisal Sharif
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Optics
Subjects:
optical coherence tomography
data augmentation
generative adversarial networks
deep learning
coronary plaques
training data
Online Access:https://www.mdpi.com/2673-3269/4/2/20

Internet

https://www.mdpi.com/2673-3269/4/2/20

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