Super-Resolution Ultrasound Imaging Scheme Based on a Symmetric Series Convolutional Neural Network

Super-Resolution Ultrasound Imaging Scheme Based on a Symmetric Series Convolutional Neural Network

In this paper, we 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. The proposed model comprises two parts: a feature extraction network (FEN) and an up-sam...

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Bibliographic Details
Main Authors: Lakpa Dorje Tamang, Byung-Wook Kim
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
ultrasound imaging
image enhancement
super resolution
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/8/3076

Internet

https://www.mdpi.com/1424-8220/22/8/3076

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