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MR image reconstruction using deep learning: evaluation of network structure and loss functions
BACKGROUND: To review and evaluate approaches to convolutional neural network (CNN) reconstruction for accelerated cardiac MR imaging in the real clinical context. METHODS: Two CNN architectures, Unet and residual network (Resnet) were evaluated using quantitative and qualitative assessment by radio...
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| Publicado no: | Quant Imaging Med Surg |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
AME Publishing Company
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6785508/ https://ncbi.nlm.nih.gov/pubmed/31667138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims.2019.08.10 |
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