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@book{1874331,
author = {Burgos, Ninon and Svoboda, David},
edition = {1st ed.},
keywords = {image synthesis; medical imaging; simulations; biomedical; deep learning},
howpublished = {tištěná verze "print"},
language = {eng},
isbn = {978-0-12-824349-7},
publisher = {Elsevier},
title = {Biomedical Image Synthesis and Simulation - Methods and Applications},
url = {https://www.elsevier.com/books/biomedical-image-synthesis-and-simulation/burgos/978-0-12-824349-7},
year = {2022}
}
TY - BOOK
ID - 1874331
AU - Burgos, Ninon - Svoboda, David
PY - 2022
TI - Biomedical Image Synthesis and Simulation - Methods and Applications
PB - Elsevier
SN - 9780128243497
KW - image synthesis
KW - medical imaging
KW - simulations
KW - biomedical
KW - deep learning
UR - https://www.elsevier.com/books/biomedical-image-synthesis-and-simulation/burgos/978-0-12-824349-7
N2 - 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.
ER -
BURGOS, Ninon a David SVOBODA. \textit{Biomedical Image Synthesis and Simulation - Methods and Applications}. Online. 1st ed. Elsevier, 2022. 674 s. ISBN~978-0-12-824349-7. [citováno 2024-04-23]
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