BioengineeringIEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)Peer-reviewed
Automated Tumor and FUS Lesion Quantification on Multi-frequency Harmonic Motion and B-mode Imaging Using a Multi-modality Neural Network
Shiqi Hu, Yangpei Liu, Xiaoyue Judy Li, Elisa E. Konofagou
This paper develops HMINet, a transformer-based neural network for automated tumor and FUS lesion quantification using multi-frequency HMI and B-mode imaging, achieving high segmentation accuracy across multiple datasets.