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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...
Autores principales: | Hamilton, S J, Hänninen, A, Hauptmann, A, Kolehmainen, V |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
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 |
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