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3D model-based segmentation

Extract segmentation lines of 3D model based on minima rule

Extract segmentation lines of 3D model based on minima rule

... 8(b),the segmentation lines extracted by our algorithm is more accurate than ...a segmentation line located in the center of the ...automatic segmentation, not required off-line ...

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A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation

A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation

... global model of the image for optimal seg- mentation. The segmentation is achieved using a level set formulation due to the computational ...proposed model to solve an important clinical prob- lem of ...

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Kidney Based Disease Identification Using Automatic 3D Segmentation

Kidney Based Disease Identification Using Automatic 3D Segmentation

... Dataset 2 was acquired from a completely different CT system for both normal subjects and abnormal subjects. Dataset 2 was used to validate the robustness of the proposed method. To the best of our knowledge, this study ...

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A wavelet based Bayesian framework for 3D object segmentation in microscopy

A wavelet based Bayesian framework for 3D object segmentation in microscopy

... Bayesian model for segmenting 3D synaptic objects from a given stack of specimen image slices captured using a fluorescent confocal ...likelihood based on the vertical inter-slice intensity profile ...

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3D Cell Nuclei Segmentation Based on Gradient Flow Tracking

3D Cell Nuclei Segmentation Based on Gradient Flow Tracking

... nuclei segmentation due to the fact that in any given nuclei image, the gradient vectors either point towards the central area of a bright nucleus, or out- wards from the central area of a dark ...physical ...

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A Reaction Diffusion Algorithm for Segmentation of Three Dimensional Sinusoidal Networks in Rats Fed a High Fat and High Cholesterol Diet: New Insights and Evaluation

A Reaction Diffusion Algorithm for Segmentation of Three Dimensional Sinusoidal Networks in Rats Fed a High Fat and High Cholesterol Diet: New Insights and Evaluation

... observing 3D structures; however, it is necessary to explicitly describe the vessel structures using 3D images of sinusoidal endothelial ...image segmentation based on the Turing ...

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2D to 3D Video COnversion

2D to 3D Video COnversion

... Abstract: 3D video applications becoming popular in our daily life, especially at home ...more 3D movies are being made, 3D video content are still not rich enough to satisfy the future 3D ...

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Fast Automatic Segmentation of the Esophagus from 3D CT data using a Probabilistic Model

Fast Automatic Segmentation of the Esophagus from 3D CT data using a Probabilistic Model

... esophagus segmentation, and all of them require a significant amount of user ...appearance model is used to ex- tract the ...a segmentation of the left atrium and the ...the segmentation was ...

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Cascaded Semantic Segmentation for Kidney and Tumor

Cascaded Semantic Segmentation for Kidney and Tumor

... semantic segmentation pipeline consists of three steps, firstly get the coarse location of kidney and tumor based on a lightweight low-resolution 3D U-Net from 3D CT images with low ...

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Modelling of Patient-Specific Femur with Osteogenesis Imperfecta to Determine the Fracture Risk Under Various Loads

Modelling of Patient-Specific Femur with Osteogenesis Imperfecta to Determine the Fracture Risk Under Various Loads

... cancellous segmentation, reconstruction of 3D OI femoral model and finite element analysis (FEA) of the OI femur to obtain fracture ...happen. Based on these findings, we can conclude that ...

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Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution

Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution

... However, histograms using the original shape distribu- tion cannot be generated stably because of the random sam- pling of the 3D surface. Figure 2 shows 30 histograms gen- erated for the same 3D ...

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Effectively incorporating selected multimedia content into medical publications

Effectively incorporating selected multimedia content into medical publications

... (3D) model of a human brain. This 3D model is based on a magnetic resonance imaging (MRI) dataset from a healthy female volunteer which was acquired with 500 μ m isotropic resolution ...

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Improved Research for 3D Mesh Segmentation Based on Watershed Algorithm

Improved Research for 3D Mesh Segmentation Based on Watershed Algorithm

... We combine the regional growth algorithm and the watershed algorithm; segment the mesh model in this way. By means of topographical interpretation, when adjacent curvatures of two adjacent minimum points are less ...

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Semi automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance

Semi automated left ventricular segmentation based on a guide point model approach for 3D cine DENSE cardiovascular magnetic resonance

... navigator-gated 3D spiral cine DENSE sequence has been developed to quantify tissue motion and strain within the entire LV in a single scan ...LV segmentation algorithms for DENSE data ...automatic ...

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The Role of Respiration in Estimation of Net Carbon Cycle: Coupling Soil Carbon Dynamics and Canopy Turnover in a Novel Version of 3D-CMCC Forest Ecosystem Model

The Role of Respiration in Estimation of Net Carbon Cycle: Coupling Soil Carbon Dynamics and Canopy Turnover in a Novel Version of 3D-CMCC Forest Ecosystem Model

... explaining 3D-CMCC FEM and 3D-CMCC-PSM systematic ...fact, 3D-CMCC FEM soil water dynamics routine was still simplistic, and to date, such other similar models, didn’t include any effect of water ...

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3D Volume Segmentation Techniques: A Survey

3D Volume Segmentation Techniques: A Survey

... further segmentation and 3D volume ...the 3D volume and they have greatly increased knowledge of normal and diseased anatomy for medical research and are a critical component in diagnosis and ...

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Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing

Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing

... to 3D as (i) the super- pixel solution is more scalable than the GPU solution in terms of memory requirements, (ii) specialized GPU co-processors are not commonly available in many com- puting platforms like smart ...

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APPENDIX-II Outdoor Scene Image Segmentation- State of the Art

APPENDIX-II Outdoor Scene Image Segmentation- State of the Art

... algorithm based on a large number of generic features calculated over a large image ...value based on edge strength or a binary value which is not a true ...

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3D Model-Based Face Recognition in Video

3D Model-Based Face Recognition in Video

... reconstructed 3D face models for recognition, we are primarily interested in video sequences that contain mostly non-frontal views for each ...the 3D face model from only 3 different frames, which in ...

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Language Model Based Arabic Word Segmentation

Language Model Based Arabic Word Segmentation

... Language model vocabulary size (LM VOC Size) and the unknown stem ratio (OOV ratio) of various segmenters is given in Table ...the segmentation error rate and the unknown stem ...

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