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Updated: Jun 29, 2026

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging
12:00

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ACE-Net:A线坐标编码网络用于超声波图像中的血管结构细分

Beatriz Farola Barata1,2, Guiqiu Liao3,4, Gianni Borghesan5,6

  • 1Robot-Assisted Surgery Group, Department of Mechanical Engineering, KU Leuven, Leuven, 3001, Belgium. beatriz.barata@kuleuven.be.

Medical & biological engineering & computing
|April 2, 2025
PubMed
概括

ACE-Net在超声波图像中直接预测血管轮坐标,提高临床医生的准确性和效率. 这种新的方法提供比现有方法更快的推断时间,同时在边界细分中保持高性能.

关键词:
计算机辅助干预是指计算机辅助干预.卷积神经网络是一种卷积神经网络.坐标回归坐标回归坐标深度学习是一种深度学习.图像轮细分 图像轮细分超声波成像 超声波成像

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