Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
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A Foundation for Enterprise Imaging: HIMSS-SIIM Collaborative White PaperAre Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive AnalyticsCardiac imaging: working towards fully-automated machine analysis & interpretationDeep Learning in Medical Image Analysis.Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images.
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Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
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2016 nî lūn-bûn
@nan
2016年の論文
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2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
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2016年论文
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name
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@en
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@nl
type
label
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@en
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@nl
prefLabel
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@en
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@nl
P2093
P356
P1476
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
@en
P2093
Bogdan Georgescu
Edward Krubasik
Florin C Ghesu
Joachim Hornegger
Vivek Singh
Yefeng Zheng
P304
P356
10.1109/TMI.2016.2538802
P50
P577
2016-03-07T00:00:00Z