Quantitative detection of Aflatoxin B1 by subpixel CNN regression.

Zhu, Hongfei; Yang, Lianhe; Gao, Jiyue; Gao, Mei; Han, Zhongzhi

Zhu, Hongfei; Yang, Lianhe; Gao, Jiyue; Gao, Mei; Han, Zhongzhi.

Afiliação

Zhu H; School of Computer Science and Technology, Tiangong University, Tianjin 300387, China. Electronic address: zhuhongfei98@163.com.
Yang L; School of Computer Science and Technology, Tiangong University, Tianjin 300387, China.
Gao J; College of Science and Information, Qingdao Agricultural University, Qingdao 266109, China.
Gao M; School of Humanities, Tiangong University, Tianjin 300387, China.
Han Z; College of Science and Information, Qingdao Agricultural University, Qingdao 266109, China. Electronic address: hanzhongzhi@qau.edu.cn.

Spectrochim Acta A Mol Biomol Spectrosc ; 268: 120633, 2022 Mar 05.

Article em En | MEDLINE | ID: mdl-34862137

Assuntos

Aflatoxina B1; Aflatoxinas; Animais; Humanos

Palavras-chave

Aflatoxin B1; Deep learning; Hyperspectral imaging; Regression prediction; Subpixel decomposition

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aflatoxina B1 / Aflatoxinas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article

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