Abstract
Radiotherapy is one of the most common methods to treat different cancer cells in clinical application despite having harmful effects on healthy tissues. Radiobiological experiments are very important to determine the irradiation-caused acute and chronic effects to define the exact consequences of different irradiation sources. Photon irradiation has been used on zebrafish embryos, a very new in vivo and appropriate model system in radiobiology. After irradiation, dose-dependent morphological changes were observable in the embryos. These morphological deteriorations were measured manually by biologist researchers during three weeks, which was an extremely time demanding process (15 min per image). The aim of this project was to automate this evaluating process, to save time for researchers and to keep the consistence and accuracy of the evaluation. Hence, an algorithm was developed and used to detect the abnormal development of zebrafish embryos.
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Acknowledgements
Melinda Katona and László G. Nyúl was supported by the project “Integrated program for training new generation of scientists in the fields of computer science”, No. EFOP-3.6.3-VEKOP-16-2017-0002. The project has been supported by the European Union and co-funded by the European Social Fund.
The ELI-ALPS project (GINOP-2.3.6-15-2015-00001) is supported by the European Union and co-financed by the European Regional Development Fund. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 654148 Laserlab-Europe.
The authors would like to thank Dr. Andrew Cheesman for helpful discussions.
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Katona, M. et al. (2019). Automatic Segmentation and Quantitative Analysis of Irradiated Zebrafish Embryos. In: Barneva, R., Brimkov, V., Kulczycki, P., Tavares, J. (eds) Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications. CompIMAGE 2018. Lecture Notes in Computer Science(), vol 10986. Springer, Cham. https://doi.org/10.1007/978-3-030-20805-9_9
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