Deep Learning, Machine Learning, Computer Vision, Artificial Intelligence, Medical Imaging.
say? Obtaining annotations for 3D medical images, such as clinical data, is generally costly. On the other hand, there is often a large number of unlabeled images. Therefore, semi-supervised learning methods have a wide range of applications in medical image segmentation tasks. Self-supervised