Convolutional Neural Networks With Intermediate Loss for 3D Super-Resolution of CT and MRI Scans.
Mariana-Iuliana GeorgescuRadu Tudor IonescuNicolae VergaPublished in: IEEE Access (2020)
Keyphrases
- super resolution
- mri scans
- convolutional neural networks
- deformable registration
- medical imaging
- magnetic resonance images
- high resolution
- low resolution
- mri data
- medical images
- image reconstruction
- magnetic resonance imaging
- x ray
- brain imaging
- image restoration
- image registration
- model based segmentation
- low resolution images
- b spline
- high quality
- motion estimation
- image analysis
- brain images
- remote sensing
- brain tumors
- multi frame
- prostate cancer
- deformation field
- image processing
- accurate segmentation
- mr images
- depth map
- coarse to fine
- statistical shape model
- image patches
- region of interest
- image segmentation
- computer vision