Optoacoustic classification of diabetes mellitus with the synthetic impacts via optimized neural networks.

Liu, Tao; Ren, Zhong; Xiong, Chengxin; Peng, Wenping; Wu, Junli; Huang, Shuanggen; Liang, Gaoqiang; Sun, Bingheng

Liu, Tao; Ren, Zhong; Xiong, Chengxin; Peng, Wenping; Wu, Junli; Huang, Shuanggen; Liang, Gaoqiang; Sun, Bingheng.

Afiliação

Liu T; Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.
Ren Z; Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.
Xiong C; Key Laboratory of Optic-electronic Detection and Information Processing of Nanchang City, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.
Peng W; Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.
Wu J; Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.
Huang S; Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.
Liang G; Agricultural Equipment Key Laboratory of Jiangxi Provincial, Jiangxi Agriculture University, 330045 Nanchang, Jiangxi, China.
Sun B; Key Laboratory of Optic-electronic and Communication, Jiangxi Science and Technology Normal University, 330038 Nanchang, Jiangxi, China.

Heliyon ; 9(10): e20796, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37842612

Palavras-chave

Diabetes mellitus; Optoacoustic technology; Qualitative classification; Wavelet neural network

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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China