Visualization, Visual Analytics and Virtual Reality in Medicine : State-of-the-art Techniques and Applications Paperback / softback
by Bernhard (Professor of Visualization, Computer Science Department, Otto-von-Guericke-Universi Preim, Renata (Assistant Professor in Medical Visualization and Visual Analytics, Research Unit of Raidou, Noeska (senior researcher, Mohn Medical Imaging and Visualization (MMIV) center, Department of Smit, Kai (Assistant Professor for visualization, University of Jena, Germany) Lawonn
Part of the The MICCAI Society book Series series
Paperback / softback
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Description
Visualization, Visual Analytics and Virtual Reality in Medicine: State-of-the-art Techniques and Applications describes important techniques and applications that show an understanding of actual user needs as well as technological possibilities.
The book includes user research, for example, task and requirement analysis, visualization design and algorithmic ideas without going into the details of implementation.
This reference will be suitable for researchers and students in visualization and visual analytics in medicine and healthcare, medical image analysis scientists and biomedical engineers in general. Visualization and visual analytics have become prevalent in public health and clinical medicine, medical flow visualization, multimodal medical visualization and virtual reality in medical education and rehabilitation.
Relevant applications now include digital pathology, virtual anatomy and computer-assisted radiation treatment planning.
Information
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:568 pages, 130 illustrations (100 in full color); Illustrations, unspecified
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:18/05/2023
- Category:
- ISBN:9780128229620
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:568 pages, 130 illustrations (100 in full color); Illustrations, unspecified
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:18/05/2023
- Category:
- ISBN:9780128229620