Semi-Supervised Learning Based Cascaded Pocket U-Net for Organ and Pan-Cancer Segmentation in Abdomen CT.
Tao WangXiaoling ZhangWei XiongShuoling ZhouXinyue ZhangPublished in: FLARE@MICCAI (2023)
Keyphrases
- energy function
- semi supervised learning
- medical images
- semi supervised
- anatomical structures
- level set
- unlabeled data
- ct scans
- image segmentation
- segmentation method
- labeled data
- markov random field
- medical imaging
- unsupervised learning
- supervised learning
- training data
- machine learning
- co training
- semi supervised classification
- computed tomography
- label propagation
- x ray
- manifold regularization
- ct images
- lymph nodes
- semi supervised learning methods
- graph based semi supervised learning
- semi supervised learning algorithms
- active learning
- learning models
- pairwise
- computer aided diagnosis
- imaging modalities
- clinical applications
- transfer learning
- data sets
- model selection
- multi view
- labeled and unlabeled data
- segmentation algorithm
- training examples
- ct data
- image processing
- feature selection
- computer vision