Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs.
Megumi NakaoMitsuhiro NakamuraTetsuya MatsudaPublished in: IEEE Trans. Medical Imaging (2022)
Keyphrases
- low contrast
- deformable models
- high contrast
- volumetric images
- gray value
- medical images
- image segmentation
- imaging modalities
- contrast enhancement
- image analysis
- medical image analysis
- image registration
- image gradient
- displacement field
- convolutional network
- image data
- region of interest
- fully automatic
- gray level
- medical imaging
- speckle noise
- multiscale
- input image
- segmentation method
- convolutional neural networks
- registration errors
- pattern recognition
- soft tissue
- anatomical structures
- registration accuracy
- registration process
- object boundaries
- high resolution
- clinical applications
- blood vessels
- object detection
- feature extraction