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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
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Recent advances in bioimage analysis methods for detecting skeletal deformities in biomedical and aquaculture fish species
Kumar, N.; Marée, R.; Geurts, P.; Muller, M. (2023). Recent advances in bioimage analysis methods for detecting skeletal deformities in biomedical and aquaculture fish species. Biomolecules 13(12): 1797. https://dx.doi.org/10.3390/biom13121797
In: Biomolecules. MDPI AG: Basel. e-ISSN 2218-273X, meer
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| Author keywords |
fish; skeletal deformities; bioimage analysis; aquaculture; biomedical; image processing; computer vision; zebrafish; medaka; seabream |
| Abstract |
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in their environment or poor dietary conditions. In aquaculture, skeletal deformities are affecting fish health, and economic losses are incurred by fish farmers. This survey paper focuses on showcasing the cutting-edge image analysis tools and techniques based on artificial intelligence that are currently applied in the analysis of bone-related deformities in aquaculture and model fish. These methods and tools play a significant role in improving research by automating various aspects of the analysis. This paper also sheds light on some of the hurdles faced when dealing with high-content bioimages and explores potential solutions to overcome these challenges. |
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