An open-access experimental dataset for breast microwave imaging

T Reimer, J Krenkevich… - 2020 14th European …, 2020 - ieeexplore.ieee.org
Microwave imaging has shown potential for breast cancer screening, but further evaluation
of the clinical viability of breast microwave imaging (BMI) systems is required. Previous …

[HTML][HTML] Diagnosing Breast Cancer with Microwave Technology: Remaining challenges and potential solutions with machine learning

BL Oliveira, D Godinho, M O'Halloran, M Glavin… - Diagnostics, 2018 - mdpi.com
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating
researchers to design and develop non-invasive and automated diagnosis systems. Recent …

[HTML][HTML] Microwave breast lesion classification–results from clinical investigation of the safe microwave breast cancer system

A Janjic, I Akduman, M Cayoren, O Bugdayci… - Academic …, 2023 - Elsevier
Rationale and Objectives Microwave breast cancer imaging (MWI) is an emerging non-
invasive technology used to clinically assess the internal breast tissue inhomogeneity. MWI …

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 …

[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 …

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 …

[HTML][HTML] Gradient-boosting algorithm for microwave breast lesion classification—SAFE clinical investigation

A Janjic, I Akduman, M Cayoren, O Bugdayci… - Diagnostics, 2022 - mdpi.com
(1) Background: Microwave breast imaging (MBI) is a promising breast-imaging technology
that uses harmless electromagnetic waves to radiate the breast and assess its internal …

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 …

Improving the diagnostic capability of microwave radar imaging systems using machine learning

T Reimer, J Sacristan, S Pistorius - 2019 13th European …, 2019 - ieeexplore.ieee.org
Breast microwave sensing (BMS) is a potential breast cancer detection technique that uses
low-power microwave radiation to detect the presence of cancerous lesions. This work …

Microwave imaging for breast Cancer detection-A Comprehensive review

D Bhargava, P Rattanadecho, K Jiamjiroch - Engineered Science, 2024 - espublisher.com
The paper presents an extensive discussion on Microwave Imaging (MI) for breast cancer
detection. Breast cancer has become a major cause of death among women worldwide, this …