Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
about
Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin.Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.Fully automated detection of breast cancer in screening MRI using convolutional neural networks.White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks.DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs.Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
P2860
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
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
Location Sensitive Deep Convol ...... White Matter Hyperintensities.
@en
type
label
Location Sensitive Deep Convol ...... White Matter Hyperintensities.
@en
prefLabel
Location Sensitive Deep Convol ...... White Matter Hyperintensities.
@en
P2093
P2860
P921
P1433
P1476
Location Sensitive Deep Convol ...... White Matter Hyperintensities.
@en
P2093
Bram Platel
Clara I Sanchez
Elena Marchiori
Frank-Erik de Leeuw
Geert Litjens
Inge W M van Uden
Mohsen Ghafoorian
Nico Karssemeijer
P2860
P2888
P356
10.1038/S41598-017-05300-5
P407
P577
2017-07-11T00:00:00Z
P698
P818
1610.04834