Reinforcement learning using Deep Q Networks and Q learning accurately localizes brain tumors on MRI with very small training sets.
Joseph N. StemberHrithwik ShaluPublished in: CoRR (2020)
Keyphrases
- brain tumors
- reinforcement learning
- magnetic resonance images
- mr images
- function approximation
- model free
- reinforcement learning algorithms
- mri images
- magnetic resonance
- brain tumor segmentation
- state space
- tumor segmentation
- brain tissue
- action selection
- mri scans
- multi agent reinforcement learning
- optimal policy
- brain images
- temporal difference learning
- stochastic approximation
- brain mr images
- low grade gliomas
- mri data
- medical image analysis
- magnetic resonance imaging
- temporal difference
- markov decision processes
- reinforcement learning methods
- learning algorithm
- multi agent
- medical images
- real patient data
- medical imaging
- actor critic
- machine learning
- image processing
- relational reinforcement learning
- endoscopic images
- pattern recognition
- image analysis
- policy iteration
- mr imaging
- continuous state