New AI-enabled deep-learning method for breast cancer detection
Two UConn researchers have developed a new, artificial intelligence (AI)-enabled deep-learning approach to breast cancer detection. The Feature Fusion Siamese Network for Breast Cancer Detection developed by Dr. Clifford Yang, an Associate Professor of Radiology at UConn School of Medicine, and Sheida Nabavi, an Associate Professor at UConn’s Department of Computer Science and Engineering, analyzes mammograms using a new algorithm that reduces false positives.
