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Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors
Purpose: Conventional automated segmentation of the head anatomy in magnetic resonance images distinguishes different brain and nonbrain tissues based on image intensities and prior tissue probability maps (TPMs). This works well for normal head anatomies but fails in the presence of unexpected lesi...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Principais autores: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8209627/ https://ncbi.nlm.nih.gov/pubmed/34159222 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.3.034001 |
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