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Titlebook: Deep Learning and Medical Applications; Jin Keun Seo Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to

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楼主: intensify
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Deep Learning for Ill Posed Inverse Problems in Medical Imaging,cerns in the medical imaging domain, where underdetermined problems are motivated by the willingness to provide high-resolution medical images with as little data as possible, by optimizing data collection in terms of minimal acquisition time, cost-effectiveness, and low invasiveness. DL methods app
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Hal Harvey,Robbie Orvis,Jeffrey Rissmanty of solutions to ill-posed inverse problems. This chapter aims to discuss some mathematical interpretations of DL-based nonlinear low-dimensional representations of expected solutions to ill-posed inverse problems.
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Electrical Impedance Imaging,pressed as nonlinear inverse problems involving time-harmonic Maxwell’s equations with electrical tissue properties being described by frequency-dependent conductivity and permittivity. This chapter reviews electrical tissue property imaging modalities.
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