Visualization in medicine and life sciences III [electronic resource] : towards making an impact / Lars Linsen, Bernd Hamann, Hans-Christian Hege, editors.
2016
R857.T47
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Details
Title
Visualization in medicine and life sciences III [electronic resource] : towards making an impact / Lars Linsen, Bernd Hamann, Hans-Christian Hege, editors.
ISBN
9783319245232 (electronic book)
3319245236 (electronic book)
9783319245218
3319245236 (electronic book)
9783319245218
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource : illustrations
Call Number
R857.T47
Dewey Decimal Classification
616.07/54
Summary
The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.
Note
Includes author index.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 24, 2016).
Series
Mathematics and visualization.
Available in Other Form
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Record Appears in
Table of Contents
Segmentation and Uncertainty
Visualization of 3D Medical Images
Visualization for Diffusion-weighted Imaging
Cohort Studies and Time-varying Phenomena
Visualization in Life Sciences.
Visualization of 3D Medical Images
Visualization for Diffusion-weighted Imaging
Cohort Studies and Time-varying Phenomena
Visualization in Life Sciences.