3D Parametric Intensity Models for the Localization of 3D Anatomical Point Landmarks and 3D Segmentation of Human Vessels

3D Parametric Intensity Models for the Localization of 3D Anatomical Point Landmarks and 3D Segmentation of Human Vessels
Title 3D Parametric Intensity Models for the Localization of 3D Anatomical Point Landmarks and 3D Segmentation of Human Vessels PDF eBook
Author Stefan Wörz
Publisher IOS Press
Pages 344
Release 2006
Genre Blood-vessels
ISBN 9783898382991

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Mathematical and Engineering Methods in Computer Science

Mathematical and Engineering Methods in Computer Science
Title Mathematical and Engineering Methods in Computer Science PDF eBook
Author Petr Hliněný
Publisher Springer
Pages 170
Release 2014-12-31
Genre Computers
ISBN 3319148966

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This volume contains the post-proceedings of the 9th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2014, held in Telč, Czech Republic, in October 2014. The 13 thoroughly revised papers were carefully selected out of 28 submissions and are presented together with 4 invited papers. The topics covered by the papers include: algorithms, logic, and games; high performance computing; computer aided analysis, verification, and testing; hardware design and diagnostics; computer graphics and image processing; and artificial intelligence and natural language processing.

Deutsche Nationalbibliografie

Deutsche Nationalbibliografie
Title Deutsche Nationalbibliografie PDF eBook
Author Die deutsche Nationalbibliothek
Publisher
Pages 938
Release 2007
Genre
ISBN

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Electrical & Electronics Abstracts

Electrical & Electronics Abstracts
Title Electrical & Electronics Abstracts PDF eBook
Author
Publisher
Pages 2240
Release 1997
Genre Electrical engineering
ISBN

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Medical Image Registration

Medical Image Registration
Title Medical Image Registration PDF eBook
Author Joseph V. Hajnal
Publisher CRC Press
Pages 394
Release 2001-06-27
Genre Medical
ISBN 1420042475

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Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid

Hands

Hands
Title Hands PDF eBook
Author Ulf Grenander
Publisher Springer Science & Business Media
Pages 164
Release 2012-12-06
Genre Computers
ISBN 1461230462

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In this book a global shape model is developed and applied to the analysis of real pictures acquired with a visible light camera under varying conditions of optical degradation. Computational feasibility of the algorithms derived from this model is achieved by analytical means. The aim is to develop methods for image understanding based on structured restoration, for example automatic detection of abnormalities. We also want to find the limits of applicability of the algorithms. This is done by making the optical degradations more and more severe until the algorithms no longer succeed in their task. This computer experiment in pattern theory is one of several. The others, LEAVES, X-RAYS, and RANGE are described elsewhere. This book is suitable for an advanced undergraduate or graduate seminar in pattern theory, or as an accompanying book for applied probability, computer vision, or pattern recognition.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Title Artificial Intelligence in Medical Imaging PDF eBook
Author Erik R. Ranschaert
Publisher Springer
Pages 369
Release 2019-01-29
Genre Medical
ISBN 3319948784

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This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.