Neural network pruning for biomedical image segmentation.
Taehee JeongManasa BollavaramElliott DelayeAshish SirasaoPublished in: Medical Imaging: Image-Guided Procedures (2021)
Keyphrases
- neural network
- image segmentation
- pattern recognition
- artificial neural networks
- graph cuts
- markov random field
- image processing
- multiscale
- contour detection
- boundary detection
- active contours
- multi layer
- region growing
- fuzzy c means
- bp neural network
- self organizing maps
- fault diagnosis
- segmentation algorithm
- pruning method
- gray level
- image analysis
- search space
- method for image segmentation
- image segmentation algorithm
- recurrent neural networks
- network architecture
- unsupervised image segmentation
- probabilistic relaxation
- segmentation method
- learning algorithm
- computer vision
- fuzzy logic
- back propagation
- deformable models
- neural network model
- feed forward
- spectral clustering
- texture segmentation
- feed forward neural networks
- activation function
- neural nets
- learning vector quantization
- biomedical data
- graph partitioning
- level set method
- biomedical text
- watershed transformation
- pruning algorithms