Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes.
Shaheer U. SaeedZeike A. TaylorMark A. PinnockMark EmbertonDean C. BarrattYipeng HuPublished in: MICCAI (4) (2020)
Keyphrases
- neural network
- multilayer perceptron
- training process
- trained neural networks
- image sequences
- motion analysis
- back propagation
- trained neural network
- optical flow
- semi structured
- motion estimation
- pattern recognition
- motion model
- backpropagation algorithm
- auto associative
- multi layer perceptron
- fuzzy logic
- directed graph
- space time
- motion field
- human motion
- neural nets
- moving objects
- artificial neural networks
- graph structure
- automatic segmentation
- training set
- motion tracking
- rule extraction
- neural network model
- control signals
- camera motion
- ultrasound images
- humanoid robot
- rbf network
- hidden units
- feed forward
- prostate segmentation