Ves-GAN: Unsupervised Vessel-Targeted Low-Dose Coronary Computed Tomography Angiography Denoising Framework

Ves-GAN: Unsupervised Vessel-Targeted Low-Dose Coronary Computed Tomography Angiography Denoising Framework

Objective: This study aims to develop an unsupervised denoising framework for low-dose coronary computed tomography (CT) angiography (LDCTA), which reduces noise while preserving vascular structures. Impact Statement: This work proposes Ves-GAN, a novel denoising framework that meets the challenges...

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Bibliographic Details
Main Authors: Xinyuan Xiang, Jiayue Li, Yan Yi, Yining Wang, Sixing Yin, Xiaohe Chen
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:BME Frontiers
Online Access:https://spj.science.org/doi/10.34133/bmef.0149
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