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Updated: Jul 26, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

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一个交替优化的生成对抗网络,具有纹理和内容约束,用于可变形的3D超声波图像的注册

Jiaju Zhang1, Tianyu Fu2, Yuanyuan Wang1

  • 1Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing 100081, People's Republic of China.

Physics in medicine and biology
|June 21, 2023
PubMed
概括

这项研究引入了一种新的3D超声波非刚性注册方法,使用生成对抗网络来通过减少扭曲纹理来提高准确性. 这种新的方法提高了医疗成像中的手术内运动补偿.

关键词:
深度学习是一种深度学习.消除扭曲的纹理 消除扭曲的纹理医疗图像注册 医疗图像注册超声波图像 超声波图像 超声波图像

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