Regional appearance modeling for model-based image segmentation: Methodological approaches to improve the accuracy of model-based image segmentation - Couverture souple
Synopsis
This thesis presents a novel appearance prior for model-based image segmentation. This appearance prior, denoted as Multimodal Prior Appearance Model (MPAM), is built upon an EM clustering of intensity profiles with model order selection to automatically select the number of profile classes. Unlike classical PCA-based approaches, the clustering is considered as regional because intensity profiles are classified for each mesh and not for each vertex. Comparative results on liver profiles from CT images show that MPAM outperforms PCA-based appearance models. Finally, methods for the analysis of lower limb structures from MR images are presented. A first part deals with the creation of subject-specific models for kinematic simulations of the lower limbs. In a second part, the performance of statistical models is compared in the context of lower limb bone segmentation when only a small number of datasets is available for training.
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Regional appearance modeling for model-based image segmentation
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LAP LAMBERT Academic Publishing Mrz 2011, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis presents a novel appearance prior for model-based image segmentation. This appearance prior, denoted as Multimodal Prior Appearance Model (MPAM), is built upon an EM clustering of intensity profiles with model order selection to automatically select the number of profile classes. Unlike classical PCA-based approaches, the clustering is considered as regional because intensity profiles are classified for each mesh and not for each vertex. Comparative results on liver profiles from CT images show that MPAM outperforms PCA-based appearance models. Finally, methods for the analysis of lower limb structures from MR images are presented. A first part deals with the creation of subject-specific models for kinematic simulations of the lower limbs. In a second part, the performance of statistical models is compared in the context of lower limb bone segmentation when only a small number of datasets is available for training. 196 pp. Englisch. N° de réf. du vendeur 9783844322095
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Regional appearance modeling for model-based image segmentation
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LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
Neuf
Couverture souple
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Regional Appearance Modeling for Model-Based Image Segmentation
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10 : 3844322094
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Couverture souple
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Regional Appearance Modeling for Model-Based Image Segmentation
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
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Regional Appearance Modeling for Model-Based Image Segmentation
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
Neuf
Couverture souple
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Regional appearance modeling for model-based image segmentation | Methodological approaches to improve the accuracy of model-based image segmentation
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LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
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Taschenbuch. Etat : Neu. Regional appearance modeling for model-based image segmentation | Methodological approaches to improve the accuracy of model-based image segmentation | François Chung | Taschenbuch | 196 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844322095 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107061546
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Regional appearance modeling for model-based image segmentation
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LAP LAMBERT Academic Publishing Mär 2011, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -This thesis presents a novel appearance prior for model-based image segmentation. This appearance prior, denoted as Multimodal Prior Appearance Model (MPAM), is built upon an EM clustering of intensity profiles with model order selection to automatically select the number of profile classes. Unlike classical PCA-based approaches, the clustering is considered as regional because intensity profiles are classified for each mesh and not for each vertex. Comparative results on liver profiles from CT images show that MPAM outperforms PCA-based appearance models. Finally, methods for the analysis of lower limb structures from MR images are presented. A first part deals with the creation of subject-specific models for kinematic simulations of the lower limbs. In a second part, the performance of statistical models is compared in the context of lower limb bone segmentation when only a small number of datasets is available for training.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. N° de réf. du vendeur 9783844322095
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Regional appearance modeling for model-based image segmentation : Methodological approaches to improve the accuracy of model-based image segmentation
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thesis presents a novel appearance prior for model-based image segmentation. This appearance prior, denoted as Multimodal Prior Appearance Model (MPAM), is built upon an EM clustering of intensity profiles with model order selection to automatically select the number of profile classes. Unlike classical PCA-based approaches, the clustering is considered as regional because intensity profiles are classified for each mesh and not for each vertex. Comparative results on liver profiles from CT images show that MPAM outperforms PCA-based appearance models. Finally, methods for the analysis of lower limb structures from MR images are presented. A first part deals with the creation of subject-specific models for kinematic simulations of the lower limbs. In a second part, the performance of statistical models is compared in the context of lower limb bone segmentation when only a small number of datasets is available for training. N° de réf. du vendeur 9783844322095
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Regional appearance modeling for model-based image segmentation: Methodological approaches to improve the accuracy of model-based image segmentation
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3844322094
ISBN 13 : 9783844322095
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