By integrating multiparameter long-term monitoring with on-chip ultrasound, this study presents an advanced approach for investigating the mechanisms of ultrasound neuromodulation, facilitating ...

Semantic segmentation of ultrasound (US) images with deep learning has played a crucial role in computer-aided disease screening, diagnosis and prognosis. However, due to the scarcity of US images and ...

In this study, we propose a novel ROI-free model for breast cancer diagnosis in ultrasound images with interpretable feature representations. We leverage the anatomical prior knowledge that malignant ...