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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)

National Natural Science Foundation of China (62205021)

Beijing Municipal Natural Science Foundation (7232345)

Beijing Municipal Natural Science Foundation (7242281)

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

Version of Record 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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