Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection

We are thrilled to share our latest research publication titled "Support Vector Machine Algorithm for Clinical Microwave Breast Cancer Screening and Early Detection," presented at the 2023 IEEE Conference on Antenna Measurements and Applications (CAMA) in Genoa, Italy. This study represents another step forward in our ongoing efforts to validate SAFE's clinical performance in breast cancer detection.

About the Publication:

This work presents clinical results for the detection and classification of breast cancer through the microwave imaging device SAFE. SAFE uses novel corrugated Vivaldi antennas to collect data in the frequency range of 0.5-8 GHz. For classification, a Support Vector Machine (SVM) algorithm is used to analyze the collected data and distinguish between malignant and benign or healthy breast tissue.

Key Findings:

• The SVM-based classification method achieved a sensitivity, specificity, and accuracy of 95%, 92%, and 93%, respectively.
• SAFE's novel corrugated Vivaldi antennas enable data collection across a wide frequency range (0.5-8 GHz), supporting detailed analysis of breast tissue.
• These results further support the potential of SAFE as a non-invasive, non-ionizing tool for clinical breast cancer screening and early detection.

Access the Publication:

To read the full publication and delve into the details of our research, please follow this link.

We are proud of the continued progress in validating SAFE's clinical performance and remain committed to advancing medical imaging technologies that can make a meaningful impact on patient care. We invite you to explore the study findings and join us in our mission to improve breast cancer detection and treatment through innovation.