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A fully automated left atrium segmentation approach from late gadolinium enhanced magnetic resonance imaging based on a convolutional neural network
BACKGROUND: Several studies suggest that the evaluation of left atrial (LA) fibrosis is a relevant information for the assessment of the appropriate strategy in catheter ablation in atrial fibrillation (AF). Late gadolinium enhanced (LGE) cardiac magnetic resonance imaging (MRI) is a non-invasive te...
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| Izdano u: | Quant Imaging Med Surg |
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| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
AME Publishing Company
2020
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7495320/ https://ncbi.nlm.nih.gov/pubmed/33014723 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-20-168 |
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