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Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation
The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) plays an important role in studying early brain development in health and disease. In the isointense stage (approximately 6–8 months of age), WM and GM exhibit similar levels of int...
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| 出版年: | Neuroimage |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4323729/ https://ncbi.nlm.nih.gov/pubmed/25562829 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.12.061 |
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