Intelligent Technologies for the Segmentation and Classification of Microbiological Photographic Images
Author:
Publisher
Allerton Press
Subject
Computational Mathematics,Control and Optimization,Human-Computer Interaction
Link
https://link.springer.com/content/pdf/10.3103/S0278641923040131.pdf
Reference14 articles.
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3. T. Naets, M. Huijsmans, P. Smyth et al., ‘‘A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development,’’ ArXiv preprint arXiv:2103.05337 (2021). https://doi.org/10.48550/arXiv.2103.05337
4. A. ul M. Khan, A. Torelli et al., ‘‘AutoCellSeg: robust automatic colony forming unit (CFU)/cell analysis using adaptive image segmentation and easy-to-use post-editing techniques,’’ Sci. Rep. 8 (1), 7302, 1–10 (2018). https://doi.org/10.1038/s41598-018-24916-9
5. A. Croxatto, G. Prod’hom, and G. Greub, ‘‘Applications of MALDI-TOF mass spectrometry in clinical diagnostic microbiology,’’ FEMS Microbiol. Rev. 36 (2), 380–407 (2012). https://doi.org/10.1111/j.1574-6976.2011.00298.x
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