An ANN approach for false alarm detection in microwave breast cancer detection

This paper presents the feed-forward back-propagation technique of artificial neural networks to validate the false alarm detection in breast cancer. A simple model of the human breast with a tumor of size 5 mm has been used to record the data of electromagnetic wave scattering in the microwave band in range 1-10 GHz. The recorded data with and without added synthetic noise is used to train, validate and test the networks. The synthetic noise is added to the data to validate the ruggedness of the ANN model. The increase of noise in recorded signal with deterioration of the signal to noise ratio from 40 dB to 1 dB in signal results the increase in false alarm detection from 2% to 22%, which can become the cause of the false report generation of the breast cancer detection.