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Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images
Background: Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation tasks with high accuracy when training and test im...
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| Publicat a: | Front Cardiovasc Med |
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| Autors principals: | , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7344224/ https://ncbi.nlm.nih.gov/pubmed/32714943 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fcvm.2020.00105 |
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