Development of a Convolutional Neural Network Based Skull Segmentation in MRI Using Standard Tesselation Language Models

Segmentation is crucial in medical imaging analysis to help extract regions of interest (ROI) from different imaging modalities. The aim of this study is to develop and train a 3D convolutional neural network (CNN) for skull segmentation in magnetic resonance imaging (MRI). 58 gold standard volumetr...

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Detalles Bibliográficos
Autores principales: Dalvit Carvalho da Silva, Rodrigo, Jenkyn, Thomas Richard, Carranza, Victor Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074044/
https://www.ncbi.nlm.nih.gov/pubmed/33923480
http://dx.doi.org/10.3390/jpm11040310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074044/
https://www.ncbi.nlm.nih.gov/pubmed/33923480
http://dx.doi.org/10.3390/jpm11040310

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