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Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network
BACKGROUND: Accurate segmentation of pelvic bones is an initial step to achieve accurate detection and localisation of pelvic bone metastases. This study presents a deep learning-based approach for automated segmentation of normal pelvic bony structures in multiparametric magnetic resonance imaging...
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| Publicado no: | Insights Imaging |
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| Principais autores: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8263843/ https://ncbi.nlm.nih.gov/pubmed/34232404 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13244-021-01044-z |
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