Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.

Qiu, Xun; Wu, Xingda; Fang, Xianglin; Fu, Qiuyue; Wang, Peng; Wang, Xin; Li, Shaoxin; Li, Ying

Qiu, Xun; Wu, Xingda; Fang, Xianglin; Fu, Qiuyue; Wang, Peng; Wang, Xin; Li, Shaoxin; Li, Ying.

Afiliação

Qiu X; School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.
Wu X; Biomedical Photonics Laboratory, School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China.
Fang X; Biomedical Photonics Laboratory, School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China.
Fu Q; School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.
Wang P; School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.
Wang X; School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.
Li S; Biomedical Photonics Laboratory, School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China.
Li Y; Biomedical Photonics Laboratory, School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China. Electronic address: xingziliying@126.com.

Spectrochim Acta A Mol Biomol Spectrosc ; 286: 122029, 2023 Feb 05.

Article em En | MEDLINE | ID: mdl-36323090

Assuntos

Aprendizado Profundo; Melanoma; Nanopartículas Metálicas; Humanos; Análise Espectral Raman/métodos; Ouro; Nanopartículas Metálicas/química; Melanoma/diagnóstico; Melanoma/química; Melanoma/patologia

Palavras-chave

Deep learning; Drug resistance; Melanoma; Raman spectroscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nanopartículas Metálicas / Aprendizado Profundo / Melanoma Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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