AI-Driven 2D Electric Field Distribution Estimation in a Human Breast Model Formed by a Line Source
This study addresses the computational challenges of estimating two-dimensional electric field distributions within heterogeneous breast tissue models, a critical task in medical applications such as microwave imaging and hyperthermia, and proposes a deep learning approach that predicts EF distributions directly from dielectric property maps.