Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation. (arXiv:2207.14191v1 [cs.CV])

Medical image segmentation is a fundamental and critical step in many
image-guided clinical approaches. Recent success of deep learning-based
segmentation methods usually relies on a large amount of labeled data, which is
particularly difficult and costly to obtain especially in the medical imaging
domain where only experts can provide reliable and accurate annotations.
Semi-supervised learning has emerged as an appealing strategy and been widely
applied to medical image segmentation tasks to train deep models with limited
annotations. In this paper, …

annotations arxiv cv image learning medical segmentation semi-supervised semi-supervised learning supervised learning survey