Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation.
Yi LinDong ZhangXiao FangYufan ChenKwang-Ting ChengHao ChenPublished in: CoRR (2023)
Keyphrases
- boundary detection
- learning models
- medical image segmentation
- image segmentation
- medical images
- machine learning
- semi supervised learning
- curve evolution
- learning algorithm
- level set method
- loss function
- learning problems
- machine learning algorithms
- conditional random fields
- medical imaging
- learning tasks
- statistical shape model
- medical image analysis
- classification models
- markov random field
- detection algorithm
- closed contours
- graphical models
- image processing
- hidden markov models
- active learning
- decision trees
- shape prior
- segmentation method
- computer vision
- higher order