On computerized methods for spine analysis in MRI: a systematic review.

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On computerized methods for spine analysis in MRI: a systematic review.

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2016 nî lūn-bûn

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2016年の論文

@ja

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

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2016年论文

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2016年论文

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On computerized methods for spine analysis in MRI: a systematic review.

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On computerized methods for spine analysis in MRI: a systematic review.

@en

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On computerized methods for spine analysis in MRI: a systematic review.

@en

P1476

On computerized methods for spine analysis in MRI: a systematic review.

@en

P2093

Klaus D Tönnies

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Marko Rak

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P2860

VolHOG: a volumetric object recognition approach based on bivariate histograms of oriented gradients for vertebra detection in cervical spine MRI.

Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences

Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis.

Automatic labeling of vertebral levels using a robust template-based approach.

Quantitative evaluation of an automatic segmentation method for 3D reconstruction of intervertebral scoliotic disks from MR images

Automatic segmentation of spinal cord MRI using symmetric boundary tracing.

Automated spine survey iterative scan technique.

Adaptive segmentation of vertebral bodies from sagittal MR images based on local spatial information and Gaussian weighted chi-square distance.

TOPOLOGY PRESERVING AUTOMATIC SEGMENTATION OF THE SPINAL CORD IN MAGNETIC RESONANCE IMAGES

Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.

P2888

s11548-016-1350-2

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1445-1465

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scholarly article

P356

10.1007/S11548-016-1350-2

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P433

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P478

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P577

2016-02-09T00:00:00Z

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P6179

1038304512

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26861655

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