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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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樓主: intensify
31#
發(fā)表于 2025-3-27 00:28:39 | 只看該作者
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
32#
發(fā)表于 2025-3-27 01:46:47 | 只看該作者
33#
發(fā)表于 2025-3-27 05:22:51 | 只看該作者
34#
發(fā)表于 2025-3-27 10:40:08 | 只看該作者
35#
發(fā)表于 2025-3-27 16:12:28 | 只看該作者
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.
36#
發(fā)表于 2025-3-27 21:29:25 | 只看該作者
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.
37#
發(fā)表于 2025-3-27 23:01:07 | 只看該作者
38#
發(fā)表于 2025-3-28 03:13:38 | 只看該作者
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發(fā)表于 2025-3-28 06:29:09 | 只看該作者
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發(fā)表于 2025-3-28 11:40:15 | 只看該作者
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