A Physics-Driven AI Approach for Microwave Imaging of Breast Tumors
arxiv(2024)
摘要
In this paper, an innovative microwave imaging (MI) approach for breast tumor
diagnosis is proposed that employs a differential formulation of the inverse
scattering problem (ISP) at hand to exploit arbitrary-fidelity priors on the
inhomogeneous reference/healthy tissues. The quantitative imaging of the
unknown tumor is then rephrased into a global optimization problem, which is
efficiently solved with an ad-hoc physics-driven artificial intelligence (AI)
strategy inspired by the concepts and guidelines of the System-by-Design (SbD)
paradigm. The effectiveness, the robustness, the reliability, and the
efficiency of the proposed method are assessed against both synthetic and
experimental data.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要