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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...
שמור ב:
| הוצא לאור ב: | IEEE Trans Cybern |
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| Main Authors: | , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2018
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| נושאים: | |
| גישה מקוונת: | 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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