Microwave Breast Sensing via Deep Learning for Tumor Spatial Localization by Probability Maps.

Background: microwave imaging (MWI) has emerged as a promising modality for breast cancer screening, offering cost-effective, rapid, safe and comfortable exams. However, the practical application of MWI for tumor detection and localization is hampered by its inherent low resolution and low detection capability.

Methods: this study aims to generate an accurate tumor probability map directly from the scattering matrix.