A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches

Microorganisms play a vital role in human life. Therefore, microorganism detection is of great significance to human beings. However, the traditional manual microscopic detection methods have the disadvantages of long detection cycle, low detection accuracy in large orders, and great difficulty in d...

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Detalles Bibliográficos
Autores principales: Ma, Pingli, Li, Chen, Rahaman, Md Mamunur, Yao, Yudong, Zhang, Jiawei, Zou, Shuojia, Zhao, Xin, Grzegorzek, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170564/
https://www.ncbi.nlm.nih.gov/pubmed/35693000
http://dx.doi.org/10.1007/s10462-022-10209-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170564/
https://www.ncbi.nlm.nih.gov/pubmed/35693000
http://dx.doi.org/10.1007/s10462-022-10209-1

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