FU-Net: fast biomedical image segmentation model based on bottleneck convolution layers.
Bekhzod OlimovKarshiev SanjarSadia DinAwais AhmadAnand PaulJeonghong KimPublished in: Multim. Syst. (2021)
Keyphrases
- image segmentation
- image processing
- graph cuts
- multiscale
- markov random field model
- active contours
- biomedical literature
- multi layer
- level set method
- fuzzy c means
- shape prior
- boundary detection
- deformable models
- segmentation algorithm
- markov random field
- text mining
- variational level set
- database programming
- graph partitioning
- biomedical data
- probabilistic relaxation
- segmenting images
- region growing
- image analysis
- level set
- object segmentation
- expectation maximization
- medical imaging
- biomedical images
- fast fourier transform
- contour detection
- unsupervised image segmentation
- image sequences
- computer vision
- machine learning
- watershed transformation
- method for image segmentation
- multilevel thresholding
- neural network