Bacterial Behaviour Analysis Through Image Segmentation Using Deep Learning Approaches
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67285-9_13
Reference20 articles.
1. Treebupachatsakul, T., Poomrittigul, S.: Microorganism image recognition based on deep learning application. In: 2020 International Conference on Electronics, Information, and Communication (ICEIC), Barcelona, Spain, pp. 1–5 (2020)
2. Balomenos, A.D., Stefanou, V., Manolakos, E.S.: Bacterial image analysis and single-cell analytics to decipher the behavior of large microbial communities. In: 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, pp. 2436–2440 (2018)
3. Fuerst, J.A.: Microorganisms-A Journal and a Unifying Concept for the Science of Microbiology (2014)
4. Parmar, S., Daki, S., Bhattacharya, S., Shrivastav, A.: Chapter 8 - Microorganism: an ecofriendly tool for waste management and environmental safety. In: Shah, M.P., Rodriguez-Couto, S., Thapar, R. (eds.) Development in Wastewater Treatment Research and Processes, pp. 175–193. Elsevier, Kapoor (2022)
5. The Lancet. https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(22)02185-7
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