[HTML][HTML] An overview of microwave imaging for breast tumor detection
Microwave imaging (MWI) is a non-ionizing, non-invasive and an upcoming affordable
medical imaging modality. Over the last few decades, MWI has invited active research …
medical imaging modality. Over the last few decades, MWI has invited active research …
Embedding deep learning in inverse scattering problems
In this paper, we introduce a deep-learning-based framework to solve electromagnetic
inverse scattering problems. This framework builds on and extends the capabilities of …
inverse scattering problems. This framework builds on and extends the capabilities of …
Preprocessing of 2-dimensional gel electrophoresis images applied to proteomic analysis: a review
MM Goez, MC Torres-Madroñero… - Genomics …, 2018 - academic.oup.com
Various methods and specialized software programs are available for processing two-
dimensional gel electrophoresis (2-DGE) images. However, due to the anomalies present in …
dimensional gel electrophoresis (2-DGE) images. However, due to the anomalies present in …
Compressive sensing as applied to inverse problems for imaging: theory, applications, current trends, and open challenges
Compressive sensing (CS) is currently one the most active research fields in information
engineering and science. The flexibility, robustness, accuracy, effectiveness, and sound …
engineering and science. The flexibility, robustness, accuracy, effectiveness, and sound …
An improved deep learning scheme for solving 2-D and 3-D inverse scattering problems
Reconstructing the exact electromagnetic property of unknown targets from the measured
scattered field is challenging due to the intrinsic nonlinearity and ill-posedness. In this …
scattered field is challenging due to the intrinsic nonlinearity and ill-posedness. In this …
Color compressive sensing imaging of arbitrary-shaped scatterers
The problem of imaging arbitrary-shaped targets is addressed through a methodological
generalization of the compressive sensing (CS) paradigm. The Color CS (C-CS) …
generalization of the compressive sensing (CS) paradigm. The Color CS (C-CS) …
Inverse Scattering Using a Joint Norm-Based Regularization
P Shah, UK Khankhoje… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Inverse scattering problems suffer from ill-posedness and ill-conditioning, necessitating the
use of regularization methods to get meaningful solutions. Commonly used regularizations …
use of regularization methods to get meaningful solutions. Commonly used regularizations …
Compressive sensing imaging of 3-D object by a holographic algorithm
Existing 3-D compressive sensing (CS)-based millimeter-wave (MMW) imaging methods
require a large-scale storage of the sensing matrix and immense computations owing to the …
require a large-scale storage of the sensing matrix and immense computations owing to the …
A two-step inverse-scattering technique in variable-exponent Lebesgue spaces for through-the-wall microwave imaging: Experimental results
A novel two-step inverse-scattering technique is proposed for through-the-wall microwave
imaging. The approach is based on a regularization scheme developed in the framework of …
imaging. The approach is based on a regularization scheme developed in the framework of …
Quantitative microwave imaging method in Lebesgue spaces with nonconstant exponents
An innovative nonlinear inverse scattering approach in variable exponent Lebesgue spaces
is proposed for microwave imaging purposes. The main objective of the approach is to …
is proposed for microwave imaging purposes. The main objective of the approach is to …