Maven Loss with AGW-Net for Biomedical Image Segmentation.
Yuze LiKaijun WangHehui GuPublished in: ICCAI (2020)
Keyphrases
- image segmentation
- markov random field
- graph cuts
- multiscale
- active contours
- texture segmentation
- contour detection
- biomedical images
- unsupervised image segmentation
- level set method
- object segmentation
- image segmentation algorithm
- segmentation algorithm
- level set
- information extraction
- image processing
- computer vision
- segmentation method
- deformable models
- text mining
- region growing
- multilevel thresholding
- method for image segmentation
- ground truth
- segmenting images
- probabilistic relaxation
- database programming
- unsupervised segmentation
- greyscale images
- model based segmentation
- information loss
- sea surface
- region merging
- biomedical literature
- boundary detection
- graph partitioning
- data sets
- fuzzy c means
- energy minimization
- databases