An online, non-destructive method for simultaneously detecting chemical, biological, and physical properties of herbal injections using hyperspectral imaging with artificial intelligence.

Zhong, Yi; Ru, Chenlei; Wang, Shufang; Li, Zhenhao; Cheng, Yiyu

Zhong, Yi; Ru, Chenlei; Wang, Shufang; Li, Zhenhao; Cheng, Yiyu.

Afiliação

Zhong Y; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Ru C; Industrial Engineering Center, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
Wang S; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Li Z; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address: zhenhao@zju.edu.cn.
Cheng Y; Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address: chengyy@zju.edu.cn.

Spectrochim Acta A Mol Biomol Spectrosc ; 264: 120250, 2022 Jan 05.

Article em En | MEDLINE | ID: mdl-34391991

Assuntos

Inteligência Artificial; Imageamento Hiperespectral; Algoritmos; Redes Neurais de Computação; Controle de Qualidade

Palavras-chave

Anomaly detection; Botanical drugs; Convolutional neural network; Hyperspectral imaging; Process analysis; Quality control

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imageamento Hiperespectral Tipo de estudo: Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Ano de publicação: 2022 Tipo de documento: Article

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