A Deep Residual Neural Network for Image Reconstruction in Biomedical 3D Magnetic Induction Tomography

In recent years, it has become increasingly popular to solve inverse problems of various tomography methods with deep learning techniques. Here, a deep residual neural network (ResNet) is introduced to reconstruct the conductivity distribution of a biomedical, voluminous body in magnetic induction t...

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Detalles Bibliográficos
Autores principales: Hofmann, Anna, Klein, Martin, Rueter, Dirk, Sauer, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610508/
https://www.ncbi.nlm.nih.gov/pubmed/36298274
http://dx.doi.org/10.3390/s22207925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610508/
https://www.ncbi.nlm.nih.gov/pubmed/36298274
http://dx.doi.org/10.3390/s22207925

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