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

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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:	Sun, Zhonghua, Ng, Curtise
Other Authors:	Bil, Jacek
Format:	Journal Article
Published:	MDPI AG 2022
Subjects:	calcification coronary computed tomography angiography deep learning generative adversarial network plaque
Online Access:	http://hdl.handle.net/20.500.11937/89236

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