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SPHERICAL U-NET FOR INFANT CORTICAL SURFACE PARCELLATION
In human brain MRI studies, it is of great importance to accurately parcellate cortical surfaces into anatomically and functionally meaningful regions. In this paper, we propose a novel end-to-end deep learning method by formulating surface parcellation as a semantic segmentation task on the sphere....
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| Publicado no: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6824603/ https://ncbi.nlm.nih.gov/pubmed/31681458 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2019.8759537 |
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