Deep Learning Techniques using Automatic Bacterial Colony Counting
Keywords:
Microorganism, Deep Learning Techniques, Bacteria Colony, Mask R-CNN, Faster R-CNN.Abstract
Accurate enumeration of bacterial colonies in Petri dish images is critical step inmicrobiological analysis for applications ranging from antimicrobial testing to food safetyand environmental monitoring. Traditional manual counting methods are not only labor intensive and time consuming
References
Rani P, Kotwal S, Manhas J, Sharma V, Sharma S. Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition : Methodologies , Challenges , and Developments [Internet]. Vol. 29, Archives of Computational Methods in Engineering. Springer Netherlands; 2022. 1801–1837 p. Available from: https://doi.org/10.1007/s11831-021-09639-x
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Published
2024-02-05
How to Cite
M. Sivapriya, N. Senthilkumaran. (2024). Deep Learning Techniques using Automatic Bacterial Colony Counting . Journal of Computational Analysis and Applications (JoCAAA), 33(2), 2263–2278. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4984
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