Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Chapter 1 Conditional Point Distribution Models

Chapter 2 Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces

Chapter 3 Iterative Training of Discriminative Models for the Generalized Hough Transform

Chapter 4 Topology Noise Removal for Curve and Surface Evolution

Chapter 6 Surgical Phases Detection from Microscope Videos by Combining SVM and HMM

Chapter 7 Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment

Chapter 8 Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations

Chapter 9 Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Chapter 10 Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning

Chapter 11 Regression Forests for Efficient Anatomy Detection and Localization in CT Studies

Chapter 12 Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography

Chapter 13 Learning Adaptive and Sparse Representations of Medical Images

Chapter 14 Feature Selection for SVM-Based Vascular Anomaly Detection

Chapter 15 Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung

Chapter 16 Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)

Chapter 17 A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex

Chapter 18 Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information

Chapter 19 Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction

Chapter 20 Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation

Chapter 21 Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts