Medical Computer Vision: Algorithms for Big Data

Chapter 1 Overview of the 2014 Workshop on Medical Computer Vision—Algorithms for Big Data (MCV 2014)

Chapter 2 Joint Segmentation and Registration for Infant Brain Images

Chapter 3 LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images

Chapter 4 Pectoralis Muscle Segmentation on CT Images Based on Bayesian Graph Cuts with a Subject-Tailored Atlas

Chapter 5 Learning Features for Tissue Classification with the Classification Restricted Boltzmann Machine

Chapter 6 Dementia-Related Features in Longitudinal MRI: Tracking Keypoints over Time

Chapter 7 Object Classification in an Ultrasound Video Using LP-SIFT Features

Chapter 8 Medical Computer Vision: Algorithms for Big Data

Chapter 9 Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling

Chapter 10 Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning

Chapter 11 Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios

Chapter 12 CT Prostate Deformable Segmentation by Boundary Regression

Chapter 13 Precise Lumen Segmentation in Coronary Computed Tomography Angiography

Chapter 14 Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets

Chapter 15 Rule-Based Ventral Cavity Multi-organ Automatic Segmentation in CT Scans

Chapter 16 Multi-atlas Segmentation and Landmark Localization in Images with Large Field of View

Chapter 17 Automatic Liver Segmentation Using Statistical Prior Models and Free-form Deformation

Chapter 18 Hierarchic Multi–atlas Based Segmentation for Anatomical Structures: Evaluation in the VISCERAL Anatomy Benchmarks

Chapter 19 Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases