New level set approach based on Parzen estimation for stroke segmentation in skull CT images.
Elizângela de S. RebouçasRégis C. P. MarquesAlan M. BragaSaulo A. F. OliveiraVictor Hugo C. de AlbuquerquePedro Pedrosa Rebouças FilhoPublished in: Soft Comput. (2019)
Keyphrases
- ct images
- medical images
- medical imaging
- liver segmentation
- lung nodules
- pet ct
- computed tomography
- level set
- computer tomography
- pet images
- fracture detection
- anatomical knowledge
- density estimation
- ct scans
- lung parenchyma
- ground glass opacity
- medical image segmentation
- region of interest
- bone segmentation
- image analysis
- lymph nodes
- image segmentation
- mri images
- medical image analysis
- x ray
- anatomical structures
- magnetic resonance imaging
- segmentation algorithm
- fully automatic
- treatment planning
- medical image processing
- brain mr images
- partial volume
- imaging modalities
- region growing
- magnetic resonance images
- level set method
- magnetic resonance
- computer vision
- active contours
- mri data
- image registration
- image processing