Enhanced Deep-Learning-Based Microwave Sensing Technology for Breast Cancer Localization

Breast cancer represents one of the most impactful diseases for both human health and healthcare system. The use of cutting-edge and innovative technology solutions is paramount to allow a proper and early diagnosis, which also would mitigate its impact on the society. In this framework, the proposed work explore the use of safe, non-ioninzing microwave radiation with dense deep learning models for the detection and localisation of breast tumor, providing spatial information to support medical decision and personalised medicine. After a screening step for the identification of malignant breasts, a tumor spatial probability map is estimated by means of fully -connected deep learning models. To this aim, an in-house, two-dimensional MRI-derived breast database consisting of 160,000 profiles was adopted, and the localisation performance was quantified by adopting proper quality metrics. The obtained results confirm the potentialities that deep learning and microwave technology can have as emerging solutions in the healthcare system for improving the quality of patients' life.