Mammograms Classification with NeuroMem® Chip for Breast Cancer Detection

Abstract

This paper presents an embedded AI model for breast cancer detection on mammogram images. Two different methods are defined and evaluated using the NeuroMem® neural network chip device. Both methods are tested on the CBIS-DDSM which is a public dataset of labeled mammograms and deliver a classification accuracy of 85 %.