Vasculature segmentation of CT liver images using graph cuts and graph-based analysis

Vasculature segmentation of CT liver images using graph cuts and graph-based analysis

Bibliográfalaš dieđut
Váldodahkkit:	Homann, H, Vesom, G, Noble, J, IEEE
Materiálatiipa:	Conference item
Almmustuhtton:	2008

Geahča maid

Poisson-based implicit shape space analysis with application to CT liver segmentation
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Almmustuhtton: (2010)

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Graph Cut-Based Human Body Segmentation in Color Images Using Skeleton Information from the Depth Sensor
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CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion
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Automatic lung segmentation based on Graph Cut using a distance‐constrained energy
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Graph cuts segmentation based on multi-dimensional features for the right ventricle in cardiac MRI
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Aerial Images Segmentation with Graph Neural Network
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Mitral Annulus Segmentation From 3D Ultrasound Using Graph Cuts
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Retinal vessel segmentation: an efficient graph cut approach with retinex and local phase.
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GUBS: Graph-Based Unsupervised Brain Segmentation in MRI Images
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Segmentation of Magnetic Resonance Brain Imaging Based on Graph Theory
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Recognition of early blight and late blight diseases on potato leaves based on graph cut segmentation
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Almmustuhtton: (2021-09-01)

A Novel Lung Nodule Accurate Segmentation of PET-CT Images Based on Convolutional Neural Network and Graph Model
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Multiple Kernel Graph Cut for SAR Image Change Detection
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Supervoxels for graph cuts-based deformable image registration using guided image filtering
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Supervoxels for graph cuts-based deformable image registration using guided image filtering
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Almmustuhtton: (2017)