Abstract
In recent years many various biomedical image segmentation methods have appeared. Though typically presented to be successful the majority of them was not properly tested against ground truth images. The obvious way of testing the quality of new segmentation was based on visual inspection by a specialist in the given field. The novel 3D biomedical image data simulator is presented in this paper. It offers the results of high quality. The comparison of generated synthetic data is compared against real image data using standard similarity techniques. © Springer-Verlag Berlin Heidelberg 2007.
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Svoboda, D., Kašík, M., Maška, M., Hubený, J., Stejskal, S., & Zimmermann, M. (2007). On simulating 3D fluorescent microscope images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4673 LNCS, pp. 309–316). Springer Verlag. https://doi.org/10.1007/978-3-540-74272-2_39
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