Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction.

ABSTRACT: Breast cancer is the most common cancer among women and it is one of the main causes of death for women worldwide. To attain an optimum medical treatment for breast cancer, an early breast cancer detection is crucial. This paper proposes a multi- stage feature selection method that extracts statistically significant features for breast cancer size detection using proposed data normalization techniques. Ultra-wideband (UWB) signals, controlled using microcontroller are transmitted via an antenna from one end of the breast phantom and are received on the other end. These ultra-wideband analogue signals are represented in both time and frequency domain. The preprocessed digital data is passed to the proposed multi- stage feature selection algorithm. This algorithm has four selection stages. I

SUBMITTER: Vijayasarveswari V 

PROVIDER: S-EPMC7425918 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature