Minireview: Advances in Spectral-Based Machine Deep Learning Algorithms for Thyroid Function Diagnosis
Author:
Affiliation:
1. School of Information Science and Engineering, Xinjiang University, Urumqi, China
2. The Key Laboratory of Signal Detection and Processing, Xinjiang University, Urumqi, China
Funder
Natural Science Foundation of Xinjiang
Scientific Research Program of Colleges and Universities of Xinjiang
Doctoral Initiation Fund of Xinjiang University
Publisher
Informa UK Limited
Subject
Electrochemistry,Biochemistry (medical),Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry
Link
https://www.tandfonline.com/doi/pdf/10.1080/00032719.2023.2199215
Reference101 articles.
1. Bai J. 2019. Research on the key technology of Raman spectroscopy pre-processing. Master’s thesis. Hefei University of Technology.
2. Convolution Network with Custom Loss Function for the Denoising of Low SNR Raman Spectra
3. Simultaneous Detection of Thyroid-Stimulating Hormone and Free Thyroxin in Dried Spots of Human Blood by Using Phosphorescent Nanoparticles
4. CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
5. Investigation of menopause-induced changes on hair by Raman spectroscopy and chemometrics
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Raman Spectroscopy as a Potential Adjunct of Thyroid Nodule Evaluation: A Systematic Review;International Journal of Molecular Sciences;2023-10-13
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