This review evaluates the methods used for image quality analysis and tumour detection in
experimental breast microwave sensing (BMS), a developing technology being investigated …

Recently, deep learning methods have made significant success in inverse scattering
problems (ISPs). However, learning approaches that work in different spaces, such as …

The number of metastasised Axillary Lymph Nodes (ALNs) is a key indicator for breast
cancer staging. Its correct assessment affects subsequent therapeutic decisions. Common …

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 …

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 …

Objective: This paper assesses the diagnostic performance of deep learning methods for
tumour detection in breast microwave sensing (BMS). Methods: A convolutional neural …

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 …

Microwave imaging systems are currently being investigated for breast cancer, brain stroke
and neurodegenerative disease detection due to their low cost, portable and wearable …

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 …

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 …