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Updated: Jun 20, 2025

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
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自动细分腹腔大动脉动脉瘤的内血栓从CT血管学使用混合规模驱动的多视图感知网络 (M2Net) 模型自动细分

Zonghan Lyu1, Nan Mu1, Mostafa Rezaeitaleshmahalleh1

  • 1Biomedical Engineering, Michigan Technological University, Houghton, MI, 49931, USA; Center for Biocomputing and Digital Health, Health Research Institute and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, MI, 49931, USA.

Computers in biology and medicine
|July 21, 2024
PubMed
概括

这项研究介绍了M2Net,这是一种新的深度学习方法,用于在腹腔大动脉动脉瘤 (AAA) 中细分腹腔内血栓 (ILT) 使用计算机断层扫描血管学 (CTA). M2Net实现了卓越的准确性,有助于更好的AAA评估和管理.

关键词:
腹腔大动脉动脉瘤 腹腔大动脉动脉瘤深度学习神经网络深度学习神经网络图像细分 图像细分 图像细分内血栓形成的原因多视图感知多视图感知

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