On the opportunities and challenges in microwave medical sensing and imaging
Widely used medical imaging systems in clinics currently rely on X-rays, magnetic
resonance imaging, ultrasound, computed tomography, and positron emission tomography …
resonance imaging, ultrasound, computed tomography, and positron emission tomography …
Flexible 16 antenna array for microwave breast cancer detection
H Bahramiabarghouei, E Porter… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Radar-based microwave imaging has been widely studied for breast cancer detection in
recent times. Sensing dielectric property differences of tissues has been studied over a wide …
recent times. Sensing dielectric property differences of tissues has been studied over a wide …
Biomedical applications of electromagnetic detection: a brief review
This paper presents a review on the biomedical applications of electromagnetic detection in
recent years. First of all, the thermal, non-thermal, and cumulative thermal effects of …
recent years. First of all, the thermal, non-thermal, and cumulative thermal effects of …
Detection and localization of breast cancer using UWB microwave technology and CNN-LSTM framework
M Lu, X Xiao, Y Pang, G Liu, H Lu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Ultrawideband (UWB) microwave detection technology, which is low cost and harmless, has
been intensively studied and developed for breast cancer detection. In this study, a …
been intensively studied and developed for breast cancer detection. In this study, a …
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 …
breast imaging systems used in clinical trials, with increasingly large and diverse patient …
Deep learning for tumour classification in homogeneous breast tissue in medical microwave imaging
B Gerazov, RC Conceicao - IEEE EUROCON 2017-17th …, 2017 - ieeexplore.ieee.org
Deep learning has become the state-of-the-art in the area of biomedical imaging, leading to
a large boost in performance that approaches human levels. Medical microwave imaging is …
a large boost in performance that approaches human levels. Medical microwave imaging is …
Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis
Objective: Multi-frequency symmetry difference electrical impedance tomography (MFSD-
EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an …
EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an …
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 …
Microwave imaging sensor using compact metamaterial UWB antenna with a high correlation factor
The design of a compact metamaterial ultra-wideband (UWB) antenna with a goal towards
application in microwave imaging systems for detecting unwanted cells in human tissue …
application in microwave imaging systems for detecting unwanted cells in human tissue …
Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames
Brain haemorrhages often require urgent treatment with a consequent need for quick and
accurate diagnosis. Therefore, in this study, we investigate Support Vector Machine (SVM) …
accurate diagnosis. Therefore, in this study, we investigate Support Vector Machine (SVM) …