Deep Neural Networks for Biomedical Image Segmentation: Trends and Best Practices.
Cecilia Irene Loeza MejíaEddy Sánchez-DelacruzMirta Fuentes-RamosPublished in: MICAI (1) (2021)
Keyphrases
- neural network
- image segmentation
- graph cuts
- multiscale
- pattern recognition
- markov random field
- region growing
- method for image segmentation
- case study
- back propagation
- segmentation algorithm
- neural nets
- fuzzy logic
- fuzzy systems
- image processing
- computer vision
- deformable models
- multilayer perceptron
- active contours
- unsupervised image segmentation
- artificial neural networks
- gray level
- biomedical data
- biomedical literature
- level set method
- boundary detection
- neural network model
- spectral clustering
- probabilistic relaxation
- text mining
- information extraction
- image analysis
- markov random field model
- contour detection
- medical imaging
- normalized cut
- trend detection
- multi layer
- fuzzy c means
- shape prior
- feed forward
- radial basis function
- fault diagnosis
- segmentation method
- software engineering
- learning algorithm