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Machine Learning Enhanced Optical Spectroscopy for Disease Detection

文献类型：期刊论文

作者Lv, Ruichan2; Wang, Zhan2; Ma, Yaqun2; Li, Wenjing2; Tian, Jie1
刊名JOURNAL OF PHYSICAL CHEMISTRY LETTERS
出版日期2022-09-29
页码12
ISSN号1948-7185
DOI10.1021/acs.jpclett.2c02193
通讯作者Lv, Ruichan(rclv@xidian.edu.cn) ; Tian, Jie(jie.tian@ia.ac.cn)
英文摘要Optical spectroscopy plays an important role in disease detection. Improving the sensitivity and specificity of spectral detection has great importance in the development of accurate diagnosis. The development of artificial intelligence technology provides a great opportunity to improve the detection accuracy through machine learning methods. In this Perspective, we focus on the combination of machine learning methods with the optical spectroscopy methods widely used for disease detection, including absorbance, fluorescence, scattering, FTIR, terahertz, etc. By comparing the spectral analysis with different machine learning methods, we illustrate that the support vector machine and convolutional neural network are most effective, which have potential to further improve the classification accuracy to distinguish disease subtypes if these machine learning methods are used. This Perspective broadens the scope of optical spectroscopy enhanced by machine learning and will be useful for the development of disease detection.
WOS关键词RAMAN-SPECTROSCOPY ; BIOMEDICAL APPLICATIONS ; TERAHERTZ SPECTROSCOPY ; CANCER ; FTIR ; IDENTIFICATION ; DIAGNOSIS ; BLOOD ; MODEL ; RDX
资助项目National Key R & D Program of China ; National Scientific Foundation of China ; Fundamental Research Funds for the Central Universities ; [2017YFA0205202] ; [2018YFC0910602] ; [81801744]
WOS研究方向Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics
语种英语
WOS记录号WOS:000864556000001
出版者AMER CHEMICAL SOC
资助机构National Key R & D Program of China ; National Scientific Foundation of China ; Fundamental Research Funds for the Central Universities
源URL[http://ir.ia.ac.cn/handle/173211/50361]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Lv, Ruichan; Tian, Jie
作者单位1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
2.Xidian Univ, Engn Res Ctr Mol & NeuroImaging, Minist Educ, Sch Life Sci & Technol,Interdisciplinary Res Ctr S, Xian 710071, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Lv, Ruichan,Wang, Zhan,Ma, Yaqun,et al. Machine Learning Enhanced Optical Spectroscopy for Disease Detection[J]. JOURNAL OF PHYSICAL CHEMISTRY LETTERS,2022:12.
APA Lv, Ruichan,Wang, Zhan,Ma, Yaqun,Li, Wenjing,&Tian, Jie.(2022).Machine Learning Enhanced Optical Spectroscopy for Disease Detection.JOURNAL OF PHYSICAL CHEMISTRY LETTERS,12.
MLA Lv, Ruichan,et al."Machine Learning Enhanced Optical Spectroscopy for Disease Detection".JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2022):12.

入库方式： OAI收割

来源：自动化研究所

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