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Comparative study of machine-and deep-learning based classification algorithms for biomedical Raman spectroscopy (RS): case study of RS based pathogenic microbe identification

Crossref DOI link: https://doi.org/10.1007/s44211-024-00645-0

Published Online: 2024-08-29

Published Print: 2024-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Guo, Sisi

Zhang, Ruoyu

Wang, Tao

Wang, Jianfeng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (21904076, 62205021)

Beijing Municipal Natural Science Foundation (7232345, 7242281)

Beijing Institute of Technology Research Fund Program for Young Scholars
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Text and Data Mining valid from 2024-08-29

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Article History

Received: 22 April 2024

Accepted: 1 August 2024

First Online: 29 August 2024

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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