While not a substitute for representative and high-quality data collection methods, it can enable clinicians to use unlabeled and labeled information and close potentially harmful diagnostic ...

Our framework harnesses the synergy of different semi-supervised learning strategies, optimizing the use of unlabeled data to improve MRI segmentation accuracy. This model achieves high Dice ...