Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin.
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DeepInfer: Open-Source Deep Learning Deployment Toolkit for Image-Guided Therapy.Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural NetworksEvaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.Brain lesion segmentation through image synthesis and outlier detection.DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs.
P2860
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P2860
Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin.
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
Deep multi-scale location-awar ...... s of presumed vascular origin.
@en
Deep multi-scale location-awar ...... s of presumed vascular origin.
@nl
type
label
Deep multi-scale location-awar ...... s of presumed vascular origin.
@en
Deep multi-scale location-awar ...... s of presumed vascular origin.
@nl
prefLabel
Deep multi-scale location-awar ...... s of presumed vascular origin.
@en
Deep multi-scale location-awar ...... s of presumed vascular origin.
@nl
P2093
P2860
P921
P1433
P1476
Deep multi-scale location-awar ...... s of presumed vascular origin.
@en
P2093
Bram Platel
Elena Marchiori
Frank-Erik de Leeuw
Jiri Obels
Joost Wissink
Karlijn Keizer
Mayra Bergkamp
Mohsen Ghafoorian
Nico Karssemeijer
P2860
P304
P356
10.1016/J.NICL.2017.01.033
P577
2017-02-04T00:00:00Z
P698
P818
1610.07442