Novel Computational Methods in Microwave Breast Imaging: Algorithm Development, Temperature Monitoring and Deep Learning Enhancement

<p dir="ltr">This thesis presents innovative computational methods that enhance microwave-based breast imaging technology. The research introduces three key advances: an adaptive algorithm that produces clearer images despite measurement interference, a temperature monitoring system for safer cancer heat treatments, and artificial intelligence integration that speeds up image processing. These improvements make microwave imaging more accurate and practical for clinical use. The technology offers a promising alternative to traditional mammography - providing radiation-free, painless breast screening that could particularly benefit women with dense breast tissue and enable better monitoring during thermal cancer therapies.</p>