Deep Reinforcement Learning for Organ Localization in CT.
Fernando NavarroAnjany SekuboyinaDiana WaldmannstetterJan C. PeekenStephanie E. CombsBjoern H. MenzePublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- medical images
- ct images
- computed tomography
- function approximation
- anatomical structures
- organ segmentation
- ct scans
- x ray
- object localization
- localization algorithm
- medical imaging
- reinforcement learning algorithms
- ct imaging
- learning algorithm
- organ motion
- temporal difference
- optic disc
- computer tomography
- computerized tomography
- liver segmentation
- machine learning
- model free
- markov decision processes
- state space
- ct data
- magnetic resonance
- magnetic resonance images
- magnetic resonance imaging
- localization error
- deformable models
- mr images
- three dimensional
- computer aided diagnosis
- mri images
- treatment planning
- micro ct
- supervised learning