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DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is an end-to-end learning-based approach to brain segmentation that jointly learns an abstract feature representation and a multi-class classi...
में बचाया:
| में प्रकाशित: | Neuroimage |
|---|---|
| मुख्य लेखकों: | , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2017
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5563492/ https://ncbi.nlm.nih.gov/pubmed/28223187 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2017.02.035 |
| टैग : |
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