Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Motion artifacts may occur in coronary computed tomography angiography (CCTA) due to the heartbeat and impede the clinician's diagnosis of coronary arterial diseases. Thus, motion artifact correction of the coronary artery is required to quantify the risk of disease more accurately. We present...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2020-01-01
الموضوعات:	Computed tomography deep learning image restoration motion correction and analysis coronary angiography
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/9082676/

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