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Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture
Accurate segmentation of brain magnetic resonance imaging (MRI) is an essential step in quantifying the changes in brain structure. Deep learning in recent years has been extensively used for brain image segmentation with highly promising performance. In particular, the U-net architecture has been w...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398543/ https://www.ncbi.nlm.nih.gov/pubmed/32745102 http://dx.doi.org/10.1371/journal.pone.0236493 |