Add to ORKGIn this paper, we propose a method for discriminating between malignant and benign breast tumors, by exploiting the dielectric properties of these tumors. The proposed technique is based on neural networks approach. Simulation results are presented on a model developed using EM simulator (CST)
Microwave imaging is an efficient diagnostic modality for non-invasively visualizing dielectric cont...
The accelerated growth in Microwave Imaging (MWI) and Microwave Detection (MWD) is driven by microw...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...
Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing te...
MammoWave is a microwave imaging device for breast lesion detection, employing two antennas which ro...
This paper presents both simulation and experimental study to detect and locate breast tumors along ...
Breast cancer is one of the main causes of women‘s death. Early detection of tumors increases the ch...
In this paper, challenges of combining machine learning techniques with near-field microwave probes ...
This work includes a brief overview of the applications of the powerful and easy-to-perform method o...
Abstract—This letter demonstrates the applicability of artificial neural networks (ANNs) to breast c...
In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumo...
The considerable overlap in the dielectric properties of benign and malignant tissue at microwave fr...
The combined use of wavelet transform and neural networks to detect and diagnose early breast cancer...
This paper presents a simple feed-forward back-propagation Neural Network (NN) model to detect and l...
Today, the early detection of breast cancer for asymptomatic women primarily relies on generalised s...
Microwave imaging is an efficient diagnostic modality for non-invasively visualizing dielectric cont...
The accelerated growth in Microwave Imaging (MWI) and Microwave Detection (MWD) is driven by microw...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...
Breast lesion detection employing state of the art microwave systems provide a safe, non-ionizing te...
MammoWave is a microwave imaging device for breast lesion detection, employing two antennas which ro...
This paper presents both simulation and experimental study to detect and locate breast tumors along ...
Breast cancer is one of the main causes of women‘s death. Early detection of tumors increases the ch...
In this paper, challenges of combining machine learning techniques with near-field microwave probes ...
This work includes a brief overview of the applications of the powerful and easy-to-perform method o...
Abstract—This letter demonstrates the applicability of artificial neural networks (ANNs) to breast c...
In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumo...
The considerable overlap in the dielectric properties of benign and malignant tissue at microwave fr...
The combined use of wavelet transform and neural networks to detect and diagnose early breast cancer...
This paper presents a simple feed-forward back-propagation Neural Network (NN) model to detect and l...
Today, the early detection of breast cancer for asymptomatic women primarily relies on generalised s...
Microwave imaging is an efficient diagnostic modality for non-invasively visualizing dielectric cont...
The accelerated growth in Microwave Imaging (MWI) and Microwave Detection (MWD) is driven by microw...
Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to d...