EXPERIMENTAL BREAST TUMOR DETECTION USING NN-BASED UWB IMAGING

3d Experimental Detection and Discrimina- Tion of Malignant and Benign Breast Tumor Using Nn-based Uwb Imaging System

This paper presents both simulation and experimental study to detect and locate breast tumors along with their classification as malignant and/or benign in three dimensional (3D) breast model. The contrast between the dielectric properties of these two tumor types is the main key. These dielectric properties are mainly controlled by the water and blood content of tumors. For simulation, electro...

Experimental Approximation of Breast Tissue Permittivity and Conductivity Using NN-Based UWB Imaging

Uwb Imaging for Breast Cancer Detection Using Neural Network

This paper presents a simple feed-forward backpropagation Neural Network (NN) model to detect and locate early breast cancer/tumor efficiently through the investigation of Electromagnetic (EM) waves. A spherical tumor of radius 0.25 cm was created and placed at arbitrary locations in a breast model using an EM simulator. Directional antennas were used to transmit and receive Ultra-Wide Band (UW...

UWB Microwave Breast Cancer Detection Using SAR

Breast cancer is one of the leading causes of cancer-related deaths worldwide. Early detection increases the chances of successful treatment and a patients long term health. Ultra-Wideband (UWB) Microwave imaging is a technique that uses wide bandwidth electromagnetic signals to see through the internal structure of the breast. It detects and localizes cancer tumors based on the high dielectric...

Enhancing Tumor Detection in IR-UWB Breast Cancer System

An ultra-wideband (UWB) microwave system for breast cancer detection is presented. The proposed system includes monocycle pulse generator, antipodal Vivaldi antenna, breast model, and calibration algorithm for tumor detection. Firstly, our pulse generator employs transmission gate in glitch generator to achieve several advantages such as low power consumption and low ringing level. Secondly, th...