Loading...
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...
Na minha lista:
| Udgivet i: | Neuroimage |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
|
| Fag: | |
| Online adgang: | 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 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|