DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
about
Comparison of image intensity, local, and multi-atlas priors in brain tissue classification.Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging.Deep Convolutional Neural Networks for Classifying Body Constitution Based on Face Image.An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
P2860
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
@en
type
label
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
@en
prefLabel
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
@en
P2860
P921
P1433
P1476
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
@en
P2093
Martin Reuter
Tassilo Klein
P2860
P356
10.1016/J.NEUROIMAGE.2017.02.035
P407
P577
2017-02-18T00:00:00Z
P698
P818
1702.08192