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Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation
INTRODUCTION: Deep learning neural networks are especially potent at dealing with structured data, such as images and volumes. Both modified LiviaNET and HyperDense-Net performed well at a prior competition segmenting 6-month-old infant magnetic resonance images, but neonatal cerebral tissue type id...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7114297/ https://ncbi.nlm.nih.gov/pubmed/32273836 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00207 |
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