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在IVOCT图像中,基于波形U形网络用于生物吸收性血管支架细分的IVOCT图像

Mingfeng Lin1,2, Quan Lan3,4, Chenxi Huang2

  • 1Henan Key Laboratory of Cardiac Remodeling and Transplantation, Zhengzhou Seventh People's Hospital, Zhengzhou, China.

Frontiers in physiology
|August 30, 2024
PubMed
概括

一个新的基于Wavelet的U形网络在血管内光学连贯断层扫描 (IVOCT) 图像中改善了可生物吸收的血管支架 (BVS) 分段. 这种更高的准确性有助于治疗冠状动脉疾病,因为它可以更好地将支架与组织区分开来.

关键词:
可生物吸收的血管支架深度学习是一种深度学习.血管内光学连贯性断层扫描 血管内光学连贯性断层扫描医疗图像处理 医疗图像处理波形变换波形变换波形变换.

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