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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Zhonghua, Ng, Curtise K. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503533/
https://www.ncbi.nlm.nih.gov/pubmed/36143139
http://dx.doi.org/10.3390/jpm12091354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503533/
https://www.ncbi.nlm.nih.gov/pubmed/36143139
http://dx.doi.org/10.3390/jpm12091354

Ejemplares similares