Rapid identification of bloodstream infection pathogens and drug resistance using Raman spectroscopy enhanced by convolutional neural networks.

Kang H, Wang Z, Sun J, Song S, Cheng L, Sun Y, Pan X, Wu C, Gong P, Li H

DOI: 10.3389/fmicb.2024.1428304
Published: 2024
Container: Frontiers in microbiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2024.1428304,
  title = {Rapid identification of bloodstream infection pathogens and drug resistance using Raman spectroscopy enhanced by convolutional neural networks.},
  author = {Kang H and Wang Z and Sun J and Song S and Cheng L and Sun Y and Pan X and Wu C and Gong P and Li H},
  year = {2024},
  journal = {Frontiers in microbiology},
  doi = {10.3389/fmicb.2024.1428304},
  url = {https://doi.org/10.3389/fmicb.2024.1428304}
}

RIS

TY  - JOUR
TI  - Rapid identification of bloodstream infection pathogens and drug resistance using Raman spectroscopy enhanced by convolutional neural networks.
AU  - Kang H
AU  - Wang Z
AU  - Sun J
AU  - Song S
AU  - Cheng L
AU  - Sun Y
AU  - Pan X
AU  - Wu C
AU  - Gong P
AU  - Li H
PY  - 2024
JO  - Frontiers in microbiology
DO  - 10.3389/fmicb.2024.1428304
UR  - https://doi.org/10.3389/fmicb.2024.1428304
ER  -

APA

H, K., Z, W., J, S., S, S., L, C., Y, S., X, P., C, W., P, G., & H, L. (2024). Rapid identification of bloodstream infection pathogens and drug resistance using Raman spectroscopy enhanced by convolutional neural networks.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2024.1428304

Source records

pubmed · retrieved 2026-09-25T13:09:28.487Z