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In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2016 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Molekulare Bildgebung, Visualisierung und Animation, Anatomische Atlanten, Patientenindividuelle Simulation und Planung, Biomechanische Modellierung, Bildverarbeitung in der Telemedizin, Bildgestützte Roboter, Chirurgische Simulatoren u.v.m.

Computer vision. --- Pattern recognition systems. --- Medical informatics. --- Computer Vision. --- Automated Pattern Recognition. --- Health Informatics.

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This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer vision. Previous research of motion analysis has generally not yet considered the basic nature of higher orders of motion such as acceleration. Hence, this book introduces an approximation of the acceleration field using established optical flow techniques. Further, acceleration is decomposed into radial and tangential based on geometry and propagated as a general motion descriptor; this book shows the capability for differentiating different types of motion both on synthesized data and real image sequences. Beyond acceleration, the higher orders of motion flow and their continuant parts are investigated for further revealing the chaotic motion fields. Naturally, it is possible to extend this notion further: to detect higher orders of image motion. In this respect, this book shows how jerk and snap can be obtained from image sequences. The derived results on test images and heel strike detection in gait analysis illustrate the ability of higher-order motion, which provide the basis for the following research and applications in the future. We hope that the publication of this book will bring a new perspective to researchers and graduate students in the field of video analysis in computer vision.

Computer vision. --- Pattern recognition systems. --- Image processing. --- Automated Pattern Recognition. --- Image Processing. --- Computer Vision.

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This two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023. The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.

Artificial intelligence. --- Computer vision. --- Robotics. --- Machine learning. --- Pattern recognition systems. --- Artificial Intelligence. --- Computer Vision. --- Machine Learning. --- Automated Pattern Recognition.

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This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are: Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks; Practical tools that facilitate understanding of underlying technology; Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.

Telecommunication. --- Machine learning. --- Computational intelligence. --- Pattern recognition systems. --- Communications Engineering, Networks. --- Machine Learning. --- Computational Intelligence. --- Automated Pattern Recognition.

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This book constitutes the refereed proceedings of the 11th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 16 papers presented in this book were carefully reviewed and selected from 31 submissions. The papers cover various topics such as computer-aided detection and diagnosis of disease; image analysis of novel ophthalmic imaging modalities; multimodal ophthalmic image analysis; ophthalmic image atlases; ophthalmic image analysis in animals; registration of ophthalmic images, including multimodal, segmentation of structures (e.g., vasculature, lesions, landmarks), combined analysis of images of the eye and other organs; validation; and/or crowd sourcing.

Computer vision. --- Artificial intelligence. --- Pattern recognition systems. --- Computer networks. --- Computer Vision. --- Artificial Intelligence. --- Automated Pattern Recognition. --- Computer Communication Networks.