HIGHLIGHTS
- who: Zhonghua Sun and Curtise K. C. Ng from the School, University, Perth, WA, Australia have published the research: Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography, in the Journal: (JOURNAL)
- what: The aim of this study was to finetune the ESRGAN model with the use of CCTA images and evaluate performance of the finetuned model on calcium deblooming in CCTA. Most applications using the GAN approach focus on CT denoising , coronary artery disease risk categorization by quantifying calcium scoring and automated registration of positron emission . . .
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