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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...
Gardado en:
| Publicado en: | J Pers Med |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2021
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| Assuntos: | |
| Acceso en liña: | 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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