Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography

Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography

The purpose of this study was to finetune a deep learning model, real-enhanced super-resolution generative adversarial network (Real-ESRGAN), and investigate its diagnostic value in calcified coronary plaques with the aim of suppressing blooming artifacts for the further improvement of coronary lume...

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Bibliographic Details
Main Authors: Zhonghua Sun, Curtise K. C. Ng
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Personalized Medicine
Subjects:
calcification
coronary computed tomography angiography
deep learning
generative adversarial network
plaque
Online Access:https://www.mdpi.com/2075-4426/12/9/1354

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