This book constitutes the thoroughly refereed post-workshop proceedings
of the International Workshop on Medical Computer Vision, MCV 2010, held
in Beijing, China, in September 2010 as a satellite event of the 13th
International Conference on Medical Image Computing and Computer
Assisted Intervention, MICCAI 2010.
The 10 revised full papers and 11 revised poster papers presented were
carefully reviewed and selected from 38 initial submissions. The papers
explore the use of modern image recognition technology in tasks such as
semantic anatomy parsing, automatic segmentation and quantification,
anomaly detection and categorization, data harvesting, semantic
navigation and visualization, data organization and clustering, and
general-purpose automatic understanding of medical images.
Author(s): Kersten Petersen, Mads Nielsen, Sami S. Brandt (auth.), Bjoern Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi (eds.)
Series: Lecture Notes in Computer Science 6533
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011
Language: English
Pages: 226
Tags: Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics)
Front Matter....Pages -
Conditional Point Distribution Models....Pages 1-10
Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces....Pages 11-20
Iterative Training of Discriminative Models for the Generalized Hough Transform....Pages 21-30
Topology Noise Removal for Curve and Surface Evolution....Pages 31-42
Exploring Cortical Folding Pattern Variability Using Local Image Features....Pages 43-53
Surgical Phases Detection from Microscope Videos by Combining SVM and HMM....Pages 54-62
Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment....Pages 63-73
Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations....Pages 74-85
Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization....Pages 86-95
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning....Pages 96-105
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies....Pages 106-117
Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography....Pages 118-129
Learning Adaptive and Sparse Representations of Medical Images....Pages 130-140
Feature Selection for SVM-Based Vascular Anomaly Detection....Pages 141-152
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung....Pages 153-163
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)....Pages 164-173
A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex....Pages 174-183
Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information....Pages 184-194
Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction....Pages 195-203
Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation....Pages 204-213
Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts....Pages 214-223
Back Matter....Pages -
