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3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation
Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain development. In the isointense phase (approximately 6–8 months of age), white matter and gray matter exhibit similar levels of intensities in magneti...
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| Publicado no: | IEEE Trans Cybern |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6230311/ https://ncbi.nlm.nih.gov/pubmed/29994385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCYB.2018.2797905 |
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