Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma-Reference-Cited by-同舟云学术

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Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma

Published:2022-01-27 Issue:4 Volume:53 Page:735-745
ISSN:0377-0486
Container-title:Journal of Raman Spectroscopy
language:en
Short-container-title:J Raman Spectroscopy

Author:

Tian Xuecong¹,Chen Cheng¹^ORCID,Chen Chen²,Yan Ziwei¹,Wu Wei¹,Chen Fangfang²,Chen Jiajia³,Lv Xiaoyi¹⁴^ORCID

Affiliation:

1. College of Software Xinjiang University Urumqi China

2. College of Information Science and Engineering Xinjiang University Urumqi China

3. Department of Economics and Management Changji Vocational and Technical College Changji China

4. Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Spectroscopy,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrs.6302

Reference42 articles.

1. DNA methylation signatures for 2016 WHO classification subtypes of diffuse gliomas

2. Glioblastoma and Other Malignant Gliomas

3. Patterns of Care for Adults With Newly Diagnosed Malignant Glioma

4. Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy

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