[Feasibility study of a machine learning-based Raman spectroscopy model for pathological classification in secondary hyperparathyroidism].
- DOI
- 10.3760/cma.j.cn115330-20260405-00199
- Published
- 2026 Sep 15
- Container
- Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3760/cma.j.cn115330-20260405-00199,
title = {[Feasibility study of a machine learning-based Raman spectroscopy model for pathological classification in secondary hyperparathyroidism].},
author = {Li RJ and Han D and Li LH and Zhang GJ and Fang JG and Shi XY and Yang JY and Ding S and He SZ and Wang YM and Wang YQ and Cai HM and Zhong Q},
year = {2026},
journal = {Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery},
doi = {10.3760/cma.j.cn115330-20260405-00199},
url = {https://doi.org/10.3760/cma.j.cn115330-20260405-00199}
}RIS
TY - JOUR TI - [Feasibility study of a machine learning-based Raman spectroscopy model for pathological classification in secondary hyperparathyroidism]. AU - Li RJ AU - Han D AU - Li LH AU - Zhang GJ AU - Fang JG AU - Shi XY AU - Yang JY AU - Ding S AU - He SZ AU - Wang YM AU - Wang YQ AU - Cai HM AU - Zhong Q PY - 2026 JO - Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery DO - 10.3760/cma.j.cn115330-20260405-00199 UR - https://doi.org/10.3760/cma.j.cn115330-20260405-00199 ER -
APA
RJ, L., D, H., LH, L., GJ, Z., JG, F., XY, S., JY, Y., S, D., SZ, H., YM, W., YQ, W., HM, C., & Q, Z. (2026). [Feasibility study of a machine learning-based Raman spectroscopy model for pathological classification in secondary hyperparathyroidism].. Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery. https://doi.org/10.3760/cma.j.cn115330-20260405-00199
Source records
- pubmed · retrieved 2026-09-27T12:28:00.468Z