MUSSE-Net for Ultrasound Strain Elastography
Multi-stage unsupervised sequential learning for clinical strain imaging.
Thesis project on deep learning for ultrasound strain elastography.
- Proposed contextual-aware encoding and tricross attention blocks
- Improved lesion SNR and strain map quality compared with unsupervised baselines
- Placeholder: add quantitative results table and code link