Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images.

Che, Vien Lam; Zimmermann, Julius; Zhou, Yilu; Lu, X Lucas; van Rienen, Ursula

Che, Vien Lam; Zimmermann, Julius; Zhou, Yilu; Lu, X Lucas; van Rienen, Ursula.

Afiliación

Che VL; Institute of General Electrical Engineering, University of Rostock, Rostock, Germany.
Zimmermann J; Institute of General Electrical Engineering, University of Rostock, Rostock, Germany.
Zhou Y; Department of Mechanical Engineering, University of Delaware, Delaware, DE, United States.
Lu XL; Department of Mechanical Engineering, University of Delaware, Delaware, DE, United States.
van Rienen U; Institute of General Electrical Engineering, University of Rostock, Rostock, Germany.

Front Bioeng Biotechnol ; 11: 1225495, 2023.

Article en En | MEDLINE | ID: mdl-37711443

Palabras clave

bioimpedance; computational electromagnetics; deep learning; electrical stimulation; image segmentation; machine learning; numerical models

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Año: 2023 Tipo del documento: Article País de afiliación: Alemania

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