[HTML][HTML] 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 …

Pathway to demonstrating clinical efficacy of microwave breast imaging: Qualitative and quantitative performance assessment

E Porter, D O'Loughlin - … , RF and Microwaves in Medicine and …, 2022 - ieeexplore.ieee.org
In the last five years alone, there has been an increasing number of operational microwave
breast imaging systems used in clinical trials, with increasingly large and diverse patient …

[HTML][HTML] An end-to-end deep learning approach for quantitative microwave breast imaging in real-time applications

M Ambrosanio, S Franceschini, V Pascazio, F Baselice - Bioengineering, 2022 - mdpi.com
(1) Background: In this paper, an artificial neural network approach for effective and real-
time quantitative microwave breast imaging is proposed. It proposes some numerical …

[HTML][HTML] 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 …

[HTML][HTML] Development of 3D MRI-based anatomically realistic models of breast tissues and tumours for microwave imaging diagnosis

AC Pelicano, MCT Gonçalves, DM Godinho, T Castela… - Sensors, 2021 - mdpi.com
Breast cancer diagnosis using radar-based medical MicroWave Imaging (MWI) has been
studied in recent years. Realistic numerical and physical models of the breast are needed …

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 …

Efficient deep learning approaches for automated tumor detection, classification, and localization in experimental microwave breast imaging data

N Khalid, M Hashir, N Mahmood… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Breast Microwave Imaging (BMI) has emerged as a competitive and potentially disruptive
alternative to conventional breast cancer screening techniques owing to its desirable …

A deep learning framework for breast tumor detection and localization from microwave imaging data

SK Al Khatib, T Naous, RM Shubair… - 2021 28th IEEE …, 2021 - ieeexplore.ieee.org
Breast Microwave Imaging (BMI) has emerged as a viable alternative to conventional breast
cancer screening techniques due to its favorable features and a higher rate of detection …

Accurate range migration for fast quantitative fourier-based image reconstruction with monostatic radar

D Tajik, R Kazemivala, J Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Range migration (or range focusing) techniques are widely used in optical, acoustic, and
microwave real-time image reconstruction methods. They have been successfully applied to …

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 …