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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.