Beltrami-net: domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT)

OBJECTIVE: To develop, and demonstrate the feasibility of, a novel image reconstruction method for absolute electrical impedance tomography (a-EIT) that pairs deep learning techniques with realtime robust D-bar methods and examine the influence of prior information on the reconstruction. APPROACH: A...

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Detalles Bibliográficos
Autores principales: Hamilton, S J, Hänninen, A, Hauptmann, A, Kolehmainen, V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816539/
https://www.ncbi.nlm.nih.gov/pubmed/31091516
http://dx.doi.org/10.1088/1361-6579/ab21b2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6816539/
https://www.ncbi.nlm.nih.gov/pubmed/31091516
http://dx.doi.org/10.1088/1361-6579/ab21b2

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