Phantom experiments using soft-prior regularization EIT for breast cancer imaging.
Sign Up to like & getrecommendations! Published in 2017 at "Physiological measurement"
DOI: 10.1088/1361-6579/aa691b
Abstract: OBJECTIVE A soft-prior regularization (SR) electrical impedance tomography (EIT) technique for breast cancer imaging is described, which shows an ability to accurately reconstruct tumor/inclusion conductivity values within a dense breast model investigated using a cylindrical… read more here.
Keywords: breast; cancer imaging; breast cancer; regularization ... See more keywords
Hyperspectral Image Superresolution via Subspace-Based Deep Prior Regularization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3249202
Abstract: Hyperspectral imaging is able to provide a finer delivery of various material properties than conventional imaging systems. Yet in reality, an optical system can only generate data with high spatial resolution but low spectral one,… read more here.
Keywords: prior regularization; deep prior; subspace based; based deep ... See more keywords
3-D Microwave Tomography Using the Soft Prior Regularization Technique: Evaluation in Anatomically Realistic MRI-Derived Numerical Breast Phantoms
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2019.2892303
Abstract: Objective: Fusion of magnetic resonance imaging (MRI) breast images with microwave tomography is accomplished through a soft prior technique, which incorporates spatial information (from MRI), i.e., accurate boundary location of different regions of interest, into… read more here.
Keywords: breast; prior regularization; soft prior; microwave tomography ... See more keywords
DP-TTA: Test-Time Adaptation for Transient Electromagnetic Signal Denoising via Dictionary-Driven Prior Regularization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3620531
Abstract: The transient electromagnetic (TEM) method is widely used in various geophysical applications, providing valuable insights into subsurface properties. However, time-domain TEM signals are often submerged in various types of noise. While recent deep learning-based denoising… read more here.
Keywords: driven prior; dictionary driven; prior regularization; test time ... See more keywords