Review and analysis of tumour detection and image quality analysis in experimental breast microwave sensing
T Reimer, S Pistorius - Sensors, 2023 - mdpi.com
This review evaluates the methods used for image quality analysis and tumour detection in
experimental breast microwave sensing (BMS), a developing technology being investigated …
experimental breast microwave sensing (BMS), a developing technology being investigated …
Multiple-space deep learning schemes for inverse scattering problems
Y Wang, Z Zong, S He, Z Wei - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, deep learning methods have made significant success in inverse scattering
problems (ISPs). However, learning approaches that work in different spaces, such as …
problems (ISPs). However, learning approaches that work in different spaces, such as …
Experimental evaluation of an axillary microwave imaging system to aid breast cancer staging
The number of metastasised Axillary Lymph Nodes (ALNs) is a key indicator for breast
cancer staging. Its correct assessment affects subsequent therapeutic decisions. Common …
cancer staging. Its correct assessment affects subsequent therapeutic decisions. Common …
An optimization-based approach to radar image reconstruction in breast microwave sensing
T Reimer, S Pistorius - Sensors, 2021 - mdpi.com
Breast microwave sensing (BMS) has been studied as a potential technique for cancer
detection due to the observed microwave properties of malignant and healthy breast tissues …
detection due to the observed microwave properties of malignant and healthy breast tissues …
Exploring multiple-incidence information in deep learning schemes for inverse scattering problems
Z Wei - IEEE Transactions on Antennas and Propagation, 2022 - ieeexplore.ieee.org
Recently, many successes have been witnessed in the field of inverse scattering problems
(ISPs) with deep learning schemes (DLSs). However, most of the studies focus on the spatial …
(ISPs) with deep learning schemes (DLSs). However, most of the studies focus on the spatial …
The diagnostic performance of machine learning in breast microwave sensing on an experimental dataset
T Reimer, S Pistorius - … , RF and Microwaves in Medicine and …, 2021 - ieeexplore.ieee.org
Objective: This paper assesses the diagnostic performance of deep learning methods for
tumour detection in breast microwave sensing (BMS). Methods: A convolutional neural …
tumour detection in breast microwave sensing (BMS). Methods: A convolutional neural …
Microwave breast imaging using compressed sensing approach of iteratively corrected delay multiply and sum beamforming
Microwave imaging (MI) is a consistent health monitoring technique that can play a vital role
in diagnosing anomalies in the breast. The reliability of biomedical imaging diagnosis is …
in diagnosing anomalies in the breast. The reliability of biomedical imaging diagnosis is …
Parallel delay multiply and sum algorithm for microwave medical imaging using spark big data framework
Microwave imaging systems are currently being investigated for breast cancer, brain stroke
and neurodegenerative disease detection due to their low cost, portable and wearable …
and neurodegenerative disease detection due to their low cost, portable and wearable …
Graph attention network in microwave imaging for anomaly localization
So far, numerous learned models have been pressed to use in microwave imaging
problems. These models however, are oblivious to the imaging geometry. It has always …
problems. These models however, are oblivious to the imaging geometry. It has always …
Systematic Performance Evaluation for the Detection of Breast Tumors with Sinusoidal Corrugated Antipodal Vivaldi Antennas Utilizing DAS and It-DAS …
AO Asok, A Tripathi, S Dey - Progress in Electromagnetics Research C, 2023 - jpier.org
This work presents a study where a Sinusoidal Corrugated Antipodal Vivaldi Antenna (SC-
AVA) operating in the Ultra-Wideband (UWB) region is employed as a transducer for …
AVA) operating in the Ultra-Wideband (UWB) region is employed as a transducer for …