Preliminary Studies On Training And Fine-Tuning Deep Denoiser Neural Networks In Learned D-Amp For Undersampled Real Mr Measurements.
Hanvit KimDong Un KangSe Young ChunPublished in: ISBI Workshops (2020)
Keyphrases
- fine tuning
- fine tuned
- neural network
- training process
- training algorithm
- fine tune
- viable alternative
- medical images
- feedforward neural networks
- feed forward neural networks
- multi layer perceptron
- deep architectures
- artificial neural networks
- neural network training
- preliminary investigation
- error back propagation
- multi layer
- neural nets
- recurrent neural networks
- machine learning
- real life
- test set
- back propagation
- empirical studies
- general purpose
- supervised learning
- mr images
- training patterns
- image registration
- magnetic resonance
- genetic algorithm
- training set
- multilayer perceptron
- backpropagation algorithm
- fuzzy logic
- recurrent networks
- training stage
- rule extraction
- fault diagnosis