Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation

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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Autori principali: Yang Ding, Rolando Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, Jose Dolz, Gregory A. Lodygensky
Natura: Articolo
Lingua:English
Pubblicazione: Frontiers Media S.A. 2020-03-01
Serie:Frontiers in Neuroscience
Soggetti:
neonatal brain
brain segmentation
machine learning (artificial intelligence)
convolutional neural network
T2-weighed MRI
Accesso online:https://www.frontiersin.org/article/10.3389/fnins.2020.00207/full

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https://www.frontiersin.org/article/10.3389/fnins.2020.00207/full

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