Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging.
Jan-Hinrich NölkeTim AdlerJanek GröhlThomas KirchnerLynton ArdizzoneCarsten RotherUllrich KötheLena Maier-HeinPublished in: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- imaging systems
- high resolution
- inherent uncertainty
- artificial neural networks
- image analysis
- medical imaging
- recurrent neural networks
- fuzzy logic
- image processing
- computer vision
- genetic algorithm
- back propagation
- neural network model
- feed forward
- uncertain data
- neural nets
- fault diagnosis
- incomplete information
- decision theory
- uncertain information
- image segmentation
- quantitative evaluation