Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

IntroductionDeep 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 iden...

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Detalhes bibliográficos
Main Authors: Yang Ding, Rolando Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, Jose Dolz, Gregory A. Lodygensky
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020-03-01
Colecção:Frontiers in Neuroscience
Assuntos:
neonatal brain
brain segmentation
machine learning (artificial intelligence)
convolutional neural network
T2-weighed MRI
Acesso em linha:https://www.frontiersin.org/article/10.3389/fnins.2020.00207/full
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