Advances of deep learning in electrical impedance tomography image reconstruction.

Zhang, Tao; Tian, Xiang; Liu, XueChao; Ye, JianAn; Fu, Feng; Shi, XueTao; Liu, RuiGang; Xu, CanHua

Zhang, Tao; Tian, Xiang; Liu, XueChao; Ye, JianAn; Fu, Feng; Shi, XueTao; Liu, RuiGang; Xu, CanHua.

Afiliação

Zhang T; Department of Biomedical Engineering, The Fourth Military Medical University, Xi'an, China.
Tian X; Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China.
Liu X; Drug and Instrument Supervision and Inspection Station, Xining Joint Logistics Support Center, Lanzhou, China.
Ye J; Department of Biomedical Engineering, The Fourth Military Medical University, Xi'an, China.
Fu F; Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China.
Shi X; Department of Biomedical Engineering, The Fourth Military Medical University, Xi'an, China.
Liu R; Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China.
Xu C; Department of Biomedical Engineering, The Fourth Military Medical University, Xi'an, China.

Front Bioeng Biotechnol ; 10: 1019531, 2022.

Article em En | MEDLINE | ID: mdl-36588934

Palavras-chave

deep learning; electrical impedance tomography; image reconstruction; medical imaging; research progress

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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