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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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| Publicado no: | J Pers Med |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8074044/ https://ncbi.nlm.nih.gov/pubmed/33923480 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm11040310 |
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