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Updated: Jan 7, 2026

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RFDNet:用于3D超声波血管成像使用行列定位数组的强大的基于频率的否定网络

Dongkyu Jung1, Nizar Guezzi1, Sangheon Lee2

  • 1Department of Robotics & Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Republic of Korea.

Ultrasonic imaging
|December 30, 2025
PubMed
概括

一个新的基于强大的频率的排泄网络 (RFDNet) 在3D超声波血管成像 (UVI) 中有效地减少了坡道形状的噪声. 这种方法提高了图像质量和可靠性,用于更好的临床应用.

关键词:
深度学习 (deep learning) 是一种深度学习.频率过器的使用频率过器.减少 减少 减少 减少列行列的地址是超声波超声波是指超声波的使用.

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