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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Detalles Bibliográficos
Autores principales: Ding, Yang, Acosta, Rolando, Enguix, Vicente, Suffren, Sabrina, Ortmann, Janosch, Luck, David, Dolz, Jose, Lodygensky, Gregory A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114297/
https://www.ncbi.nlm.nih.gov/pubmed/32273836
http://dx.doi.org/10.3389/fnins.2020.00207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114297/
https://www.ncbi.nlm.nih.gov/pubmed/32273836
http://dx.doi.org/10.3389/fnins.2020.00207

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