BURGOS, Ninon and David SVOBODA. Biomedical Image Synthesis and Simulation - Methods and Applications. 1st ed. Elsevier. 674 pp. ISBN 978-0-12-824349-7. 2022.
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Basic information
Original name Biomedical Image Synthesis and Simulation - Methods and Applications
Authors BURGOS, Ninon and David SVOBODA.
Edition 1st ed. 674 pp. 2022.
Publisher Elsevier
Other information
Original language English
Type of outcome Editorship of professional books
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Organization unit Faculty of Informatics
ISBN 978-0-12-824349-7
Keywords in English image synthesis; medical imaging; simulations; biomedical; deep learning
Tags cbia-web, simulation, synthetic image
Tags International impact
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 29/3/2023 15:16.
Abstract
Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future.
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