MSE-Nets: Multi-annotated Semi-supervised Ensemble Networks for Improving Segmentation of Medical Image with Ambiguous Boundaries.
Shuai WangTengjin WengJingyi WangYang ShenZhidong ZhaoYixiu LiuPengfei JiaoZhiming ChengYaqi WangPublished in: CoRR (2023)
Keyphrases
- medical images
- semi supervised
- medical imaging
- medical image segmentation
- deformable models
- anatomical structures
- medical image analysis
- magnetic resonance imaging
- mri images
- biomedical images
- computed tomography
- magnetic resonance
- ct images
- segmentation of medical images
- mr images
- medical diagnosis
- medical image registration
- imaging modalities
- clinical applications
- region of interest
- object boundaries
- magnetic resonance images
- pairwise
- brain images
- medical image retrieval
- multi modality
- x ray images
- shape prior
- semi supervised learning
- unlabeled data
- image registration
- active learning
- segmentation method
- multiscale