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This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015. The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

Computer science. --- Health informatics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Health Informatics. --- Design perception --- Pattern recognition --- Pictorial data processing --- Picture processing --- Processing, Image --- Clinical informatics --- Health informatics --- Medical information science --- Informatics --- Form perception --- Perception --- Figure-ground perception --- Imaging systems --- Optical data processing --- Information science --- Medicine --- Science --- Data processing --- Computer vision. --- Optical pattern recognition. --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Medical care --- Optical pattern recognition --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Medical Computer Vision, MCV 2013, held in Nagoya, Japan, in September 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013. The 7 revised full papers and 12 poster papers presented were selected from 25 submissions. They have been organized in topical sections on registration and visualization, segmentation, detection and localization, and features and retrieval. In addition, the volume contains two invited papers describing segmentation task and data set of the VISCERAL benchmark challenge.

Mathematical statistics --- Human medicine --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- beeldverwerking --- factoranalyse --- computers --- medische informatica --- computerkunde --- optica

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This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and "big data" algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission.

Computer science. --- User interfaces (Computer systems). --- Computer simulation. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- User Interfaces and Human Computer Interaction. --- Computer Graphics. --- Simulation and Modeling. --- Computer vision. --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Informatics --- Science --- Digital techniques --- Optical data processing. --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.

Computer science. --- Health informatics. --- Mathematical statistics. --- Computer science --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer Science. --- Image Processing and Computer Vision. --- Health Informatics. --- Artificial Intelligence (incl. Robotics). --- Probability and Statistics in Computer Science. --- Math Applications in Computer Science. --- Pattern Recognition. --- Mathematics. --- Design perception --- Pattern recognition --- Pictorial data processing --- Picture processing --- Processing, Image --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Clinical informatics --- Health informatics --- Medical information science --- Informatics --- Statistical methods --- Form perception --- Perception --- Figure-ground perception --- Imaging systems --- Optical data processing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Statistics --- Probabilities --- Sampling (Statistics) --- Information science --- Medicine --- Science --- Data processing --- Computer vision. --- Medical records --- Optical pattern recognition. --- Artificial Intelligence. --- Data processing. --- Pattern perception --- Perceptrons --- Visual discrimination --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Medical care --- Computer vision in medicine --- Optical data processing. --- Computer science—Mathematics. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment