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Updated: May 1, 2026

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SDRD-Net:一个对称的双分支的残余密集网络,用于OCT和美国的图像融合

Zhang Xiao1, Bin He2, Zhiyi Chen3

  • 1College of Mechanical Engineering, University of South China, Hengyang, Hunan, China; Key Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, University of South China, College of Hunan Province, Changsha, Hunan, China.

Ultrasound in medicine & biology
|February 16, 2025
PubMed
概括

这项研究引入了一种新型的对称双分支残余密度网络 (SDRD-Net) 用于融合光学连贯断层扫描 (OCT) 和超声波 (US) 胚胎内膜图像. SDRD-Net有效地结合了多模式成像数据,以增强子宫内膜厚度信息.

关键词:
图像融合 图像融合 图像融合光学连贯性断层扫描 (OCT)剩余的密度是剩余的超声波 (美国)功能融合功能融合功能

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Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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