Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images.
Karl Thurnhofer-HemsiEzequiel López-RubioNúria Roé-VellvéMiguel A. Molina-CabelloPublished in: IWINAC (2) (2019)
Keyphrases
- deep learning
- resolution enhancement
- deep belief networks
- super resolution
- unsupervised learning
- machine learning
- low resolution
- spatial information
- visual analysis
- weakly supervised
- mental models
- discontinuity preserving
- image resolution
- higher resolution
- markov random field
- high resolution
- reinforcement learning
- image sequences
- three dimensional