Level Set Based on Brain Radiological Densities for Stroke Segmentation in CT Images.
Elizângela de S. RebouçasAlan M. BragaRóger Moura SarmentoRégis C. P. MarquesPedro Pedrosa Rebouças FilhoPublished in: CBMS (2017)
Keyphrases
- ct images
- anatomical knowledge
- pet images
- medical images
- medical imaging
- liver segmentation
- pet ct
- computed tomography
- ct scans
- lung nodules
- automated segmentation
- level set
- traumatic brain injury
- fracture detection
- computer tomography
- shape prior
- brain mr images
- brain images
- vessel segmentation
- lung parenchyma
- hypothesis testing
- brain tumors
- image segmentation
- ground glass opacity
- treatment planning
- bone segmentation
- deformable models
- image registration
- segmentation algorithm
- medical image analysis
- lymph nodes
- medical image processing
- magnetic resonance imaging
- mr images
- segmentation method
- region of interest
- positron emission tomography
- image analysis
- fully automatic
- x ray images
- pulmonary nodules
- level set method
- ct data