Abstract: The application of deep learning has significantly accelerated magnetic resonance imaging (MRI). However, these methods encounter substantial challenges when fully sampled datasets are ...

Abstract: Semi-supervised learning in medical image segmentation leverages unlabeled data to reduce annotation burdens through consistency learning. However, current methods struggle with class ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...