Lung CT Image Segmentation Using Reinforcement Learning.
Parnia GheysariMansoor FatehMohsen RezvaniPublished in: Int. J. Artif. Intell. Tools (2021)
Keyphrases
- image segmentation
- reinforcement learning
- ct images
- computed tomography
- medical imaging
- ct scans
- ct data
- medical images
- lung parenchyma
- x ray
- computer tomography
- segmentation algorithm
- automatic segmentation
- image analysis
- pulmonary embolism
- pulmonary nodules
- graph cuts
- deformable models
- state space
- multiscale
- image processing
- lung nodules
- function approximation
- three dimensional
- gray level
- low dose
- intraoperative
- markov random field
- computer vision
- chest radiographs
- multislice
- target registration error
- temporal difference
- model free
- patient specific
- active contours
- ground glass opacity
- markov decision processes
- computer aided diagnosis
- image reconstruction
- lung cancer
- thoracic ct images
- magnetic resonance imaging
- reinforcement learning algorithms
- image registration
- shape prior
- treatment planning
- learning algorithm
- manual segmentation
- multi agent
- dynamic programming
- imaging modalities
- level set
- magnetic resonance images
- machine learning
- energy function