Super-resolution ultrasound imaging scheme based on a symmetric series convolutional neural network

HIGHLIGHTS

• who: Lakpa Dorje Tamang and Byung-Wook Kim from the Department of Information and Communication Engineering, Changwon National University have published the article: Super-Resolution Ultrasound Imaging Scheme Based on a Symmetric Series Convolutional Neural Network, in the Journal: Sensors 2022, 3076 of /2022/
• what: The authors propose a symmetric series convolutional neural network (SS-CNN) which is a novel deep convolutional neural network (DCNN)-based super-resolution (SR) technique for ultrasound medical imaging. To cope with motion estimation while performing multi-frame SR, this research proposed a DL network that obtains HR images by . . .
  

   

  

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