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- W3094610080 abstract "Electrical impedance tomography (EIT) is a non-destructive imaging method, where a physical body is probed with electric measurements at the boundary, and information about the internal conductivity is extracted from the data. The enclosure method of Ikehata [J. Inv. III-Posed Prob. 8(2000)] recovers the convex hull of an inclusion of unknown conductivity embedded in known background conductivity. Practical implementations of the enclosure method are based on least-squares (LS) fitting of lines to noise-robust values of the so-called indicator function. It is shown how a convolutional neural network instead of LS fitting improves the accuracy of the enclosure method significantly while retaining interpretability." @default.
- W3094610080 created "2020-10-29" @default.
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- W3094610080 date "2020-09-01" @default.
- W3094610080 modified "2023-09-25" @default.
- W3094610080 title "Electrical Impedance Tomography, Enclosure Method and Machine Learning" @default.
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- W3094610080 doi "https://doi.org/10.1109/mlsp49062.2020.9231717" @default.
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