Deep learning-based ultra-fast identification of Raman spectra with low signal-to-noise ratio.

Liu, Kunxiang; Chen, Fuyuan; Shang, Lindong; Wang, Yuntong; Peng, Hao; Liu, Bo; Li, Bei

Liu, Kunxiang; Chen, Fuyuan; Shang, Lindong; Wang, Yuntong; Peng, Hao; Liu, Bo; Li, Bei.

Afiliação

Liu K; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, PR China.
Chen F; University of Chinese Academy of Sciences, Beijing, PR China.
Shang L; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, PR China.
Wang Y; University of Chinese Academy of Sciences, Beijing, PR China.
Peng H; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, PR China.
Liu B; University of Chinese Academy of Sciences, Beijing, PR China.
Li B; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, PR China.

J Biophotonics ; 17(1): e202300270, 2024 01.

Article em En | MEDLINE | ID: mdl-37651642

Assuntos

Aprendizado Profundo; Razão Sinal-Ruído; Redes Neurais de Computação; Análise Espectral Raman/métodos; Linhagem Celular

Palavras-chave

Raman spectroscopy; cell line identification; data enhancement; deep learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Biophotonics Assunto da revista: BIOFISICA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Alemanha

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