KI-Beratung Beta
Vor Ort
Merkzettel Warenkorb
  • Produktbild: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging
  • Produktbild: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging
Band 7766

Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers

Aus der Reihe Lecture Notes in Computer Science

52,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.03.2013

Abbildungen

XI, 294 p. 136 illus.

Herausgeber

Bjoern Menze + weitere

Verlag

Springer Berlin

Seitenzahl

294

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

470 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-36619-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.03.2013

Abbildungen

XI, 294 p. 136 illus.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

294

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

470 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-36619-2

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging
  • Produktbild: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging

  • Real-Time 2D/3D Deformable Registration Using Metric Learning.- Groupwise Spectral Log-Demons Framework for Atlas Construction.- Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint.- Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas.- Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts.- Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimization.- Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests.- Novel Vector-Valued Approach to Automatic Brain Tissue Classification.- Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance.- Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework.- EfficientGeometrical Potential Force Computation for Deformable Model Segmentation.- Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut.- Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves.- Fast Anatomical Structure Localization Using Top-Down Image Patch Regression.- Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering.- Pipeline for Tracking Neural Progenitor Cells.- Automatic Heart Isolation in 3D CT Images.- Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification.- Context Enhanced Graphical Model for Object Localization in Medical Images.- A Cascade Learning Method for Liver Lesion Detection in CT Images.- Automatic Event Detection within Thrombus Formation Based on Integer Programming.- Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images.- Identification of Malignant Breast Tumors Based on Acoustic Attenuation Mapping of Conventional Ultrasound Images.- What Genes Tell about Iris Appearance.-Robust Dense Endoscopic Stereo Reconstruction for Minimally Invasive Surgery.- Model-Based Human Teeth Shape Recovery from a Single Optical Image with Unknown Illumination.- Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model.- Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models.

    Groupwise Spectral Log-Demons Framework for Atlas Construction.- Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint.- Semi-supervised Segmentation Using Multiple Segmentation Hypotheses from a Single Atlas.- Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts.- Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimization.- Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints forSegmentation of 3D Echocardiograms with Random Forests.- Novel Vector-Valued Approach to Automatic Brain Tissue Classification.- Atlas-Based Whole-Body PET-CT Segmentation Using a Passive Contour Distance.- Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework.- Efficient Geometrical Potential Force Computation for Deformable Model Segmentation.- Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut.- Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves.- Fast Anatomical Structure Localization Using Top-Down Image Patch Regression.- Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering.- Pipeline for Tracking Neural Progenitor Cells.- Automatic Heart Isolation in 3D CT Images.- Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification.- Context Enhanced Graphical Model for Object Localization in Medical Images.- A Cascade Learning Method for Liver Lesion Detection in CT Images.-Automatic Event Detection within Thrombus Formation Based on Integer Programming.- Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images.- Identification of Malignant Breast Tumors Based on Acoustic Attenuation Mapping of Conventional Ultrasound Images.- What Genes Tell about Iris Appearance.- Robust Dense Endoscopic Stereo Reconstruction for Minimally Invasive Surgery.- Model-Based Human Teeth Shape Recovery from a Single Optical Image with Unknown Illumination.- Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model.- Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models.