Multi-transformation Consistency Regularization for Semi-supervised Medical Image Segmentation

Segmentation algorithms based on supervised learning have achieved good results, but supervised learning algorithms require a large amount of labeled data for training. The scarcity of labeled data has greatly limited the development of medical image segmentation. In this paper, we propose a novel semi-supervised segmentation method, where a multi-transformation consistency regularization model is...