Identification of Multi-Class Drugs Based on Near Infrared Spectroscopy and Bidirectional Generative Adversarial Networks.

Zheng, Anbing; Yang, Huihua; Pan, Xipeng; Yin, Lihui; Feng, Yanchun

Zheng, Anbing; Yang, Huihua; Pan, Xipeng; Yin, Lihui; Feng, Yanchun.

Afiliação

Zheng A; School of Automation, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing 100086, China.
Yang H; School of Automation, Beijing University of Posts and Telecommunications, 10 Xitucheng Road, Haidian District, Beijing 100086, China.
Pan X; School of Computer Science and Information Security, Guilin University of Electronic Technology, No.1 Jinji Road, Qixing District, Guilin 541004, China.
Yin L; School of Computer Science and Information Security, Guilin University of Electronic Technology, No.1 Jinji Road, Qixing District, Guilin 541004, China.
Feng Y; China Institute for Food and Drug Control, 2 Tiantan Xili, Dongcheng District, Beijing 100086, China.

Sensors (Basel) ; 21(4)2021 Feb 05.

Article em En | MEDLINE | ID: mdl-33562502

Assuntos

Preparações Farmacêuticas; Espectroscopia de Luz Próxima ao Infravermelho

Palavras-chave

deep learning; drug identification; generative adversarial networks; multi-class classification; near-infrared spectroscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Preparações Farmacêuticas / Espectroscopia de Luz Próxima ao Infravermelho Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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