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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029455/ https://www.ncbi.nlm.nih.gov/pubmed/35459061 http://dx.doi.org/10.3390/s22083076 |