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@inbook{1874640, author = {Nečasová, Tereza and Burgos, Ninon and Svoboda, David}, address = {Neuveden}, booktitle = {Biomedical Image Synthesis and Simulation - Methods and Applications}, doi = {http://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3}, edition = {1st ed.}, editor = {Ninon Burgos, David Svoboda}, keywords = {Image synthesis; Image simulation; Similarity;Distance metrics;Image datasets}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Neuveden}, isbn = {978-0-12-824349-7}, pages = {573-600}, publisher = {Elsevier}, title = {Validation and evaluation metrics for medical and biomedical image synthesis}, url = {http://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3}, year = {2022} }
TY - CHAP ID - 1874640 AU - Nečasová, Tereza - Burgos, Ninon - Svoboda, David PY - 2022 TI - Validation and evaluation metrics for medical and biomedical image synthesis VL - The MICCAI Society book Series PB - Elsevier CY - Neuveden SN - 9780128243497 KW - Image synthesis KW - Image simulation KW - Similarity;Distance metrics;Image datasets UR - http://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3 N2 - Synthetic image data play an important role in the verification of medical and biomedical image analysis algorithms. However, the usage of such data strongly relies on their quality and plausibility. Despite the emergence of many frameworks for image synthesis in recent years, the quality of the generated images has not been sufficiently assessed in many cases, or the methodology varied across the publications. If we want to use synthetic image data for the verification of biomedical analysis tools, then the images should resemble the real ones as much as possible with evidence about their similarity. Initially, the hardware available for simulations was limited. Therefore, the validation was not under the scope of interest. With the technological improvements, the expectations put on synthetic data have arisen. Proper validation of synthetic image data is nowadays becoming essential. ER -
NEČASOVÁ, Tereza, Ninon BURGOS and David SVOBODA. Validation and evaluation metrics for medical and biomedical image synthesis. In Ninon Burgos, David Svoboda. \textit{Biomedical Image Synthesis and Simulation - Methods and Applications}. 1st ed. Neuveden: Elsevier, 2022, p.~573-600. The MICCAI Society book Series. ISBN~978-0-12-824349-7. Available from: https://dx.doi.org/10.1016/B978-0-12-824349-7.00032-3.
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