Reinforcement learning using Deep [Formula: see text] networks and [Formula: see text] learning accurately localizes brain tumors on MRI with very small training sets.
Joseph Nathaniel StemberH ShaluPublished in: BMC medical imaging (2022)
We have successfully applied reinforcement learning to localize brain tumors on 2D contrast-enhanced MRI brain images. This represents a generalization of recent work to a gridworld setting naturally suitable for analyzing medical images. We have shown that reinforcement learning does not over-fit small training sets, and can generalize to a separate testing set.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- deep learning
- healthcare
- convolutional neural network
- smoking cessation
- human milk
- virtual reality
- blood brain barrier
- brain injury
- resting state
- cerebral ischemia
- functional connectivity