Efficient graph cut optimization using hybrid kernel functions for segmentation of FDG uptakes in fused PET/CT images.
J. Angelin JebaS. Nirmala DeviPublished in: Appl. Soft Comput. (2019)
Keyphrases
- ct images
- pet ct
- kernel function
- pet images
- medical images
- positron emission tomography
- medical imaging
- computed tomography
- liver segmentation
- lung nodules
- graph cut optimization
- fracture detection
- computer tomography
- treatment planning
- imaging modalities
- ct scans
- lymph nodes
- support vector machine
- image reconstruction
- magnetic resonance imaging
- mr images
- region of interest
- lung cancer
- image segmentation
- high dimensional
- pattern recognition
- support vector
- segmentation algorithm
- graph cuts
- super resolution
- level set
- feature space
- image processing
- ground glass opacity
- depth map
- classification accuracy
- lung parenchyma