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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