Machine Learning Classification of Breast Density from Bioimpedance Signals

Breast density is a key breast cancer risk factor. It is traditionally assessed via mammography, but existing limitations invite alternative approaches. This pilot study evaluated the feasibility of machine learning-based breast density classification from Time-Domain Bioimpedance Sensing (TD-BIS) signals.