[使用高通过的深度学习来减少肝脏MRI中的运动人工物]
Motohira Mio1, Nariaki Tabata1, Tatsuo Toyofuku1
1Department of Radiology, Fukuoka University Chikushi Hospital.
Nihon Hoshasen Gijutsu Gakkai zasshi
|March 10, 2024
概括
通过高通过的深度学习有效地减少了肝脏MRI扫描中的运动工件. 这种方法可以提高图像的清晰度,而不会影响诊断质量,改善了医疗专业人员的可视化.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 图像处理 图像处理
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