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

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  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 7766
  • Išleidimo metai: 14-Mar-2013
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Kalba: eng
  • ISBN-13: 9783642366208
Kitos knygos pagal šią temą:
  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Computer Science 7766
  • Išleidimo metai: 14-Mar-2013
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Kalba: eng
  • ISBN-13: 9783642366208
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This book constitutes the thoroughly refereed workshop proceedings of the Second International Workshop on Medical Computer Vision, MCV 2012, held in Nice, France, October 2012 in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012.
The 24 papers have been selected out of 42 submissions. At MCV 2012, 12 papers were presented as a poster and 12 as a poster together with a plenary talk. The book also features four selected papers which were presented at the previous CVPR Medical Computer Vision workshop held in conjunction with the International Conference on Computer Vision and Pattern Recognition on June 21 2012 in Providence, Rhode Island, USA. The papers explore the use of modern computer vision technology in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies, as well as 3D reconstruction and biophysical model personalization.
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.