Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies.
Beniamin Di VeroliRichard LedermanJacob SosnaLeo JoskowiczPublished in: MICCAI (5) (2023)
Keyphrases
- graph theoretic
- lesion segmentation
- magnetic resonance imaging
- multiple sclerosis
- magnetic resonance images
- medical images
- multi target tracking
- bayesian network structure learning
- dermoscopy images
- graph theory
- particle filter
- face detection and tracking
- skin lesion
- region of interest
- medical imaging
- pattern mining
- ct images
- hamiltonian path
- mri images
- maximum independent set
- random graphs
- association graph
- detecting and tracking multiple
- cross sectional
- pulmonary nodules
- lymph nodes
- automated detection
- image analysis
- partial occlusion
- appearance model
- face detection
- detection algorithm
- object detection
- evolutionary algorithm