Reinforcement Learning for Active Modality Selection During Diagnosis.
Gabriel BernardinoAnders JonssonFilip LoncaricPablo-Miki Martí CastelloteMarta SitgesPatrick ClarysseNicolas DuchateauPublished in: MICCAI (1) (2022)
Keyphrases
- reinforcement learning
- function approximation
- fault diagnosis
- multi modal
- neural network
- model free
- multi agent
- expert systems
- medical diagnosis
- learning algorithm
- machine learning
- data mining
- data sets
- active databases
- diagnostic reasoning
- dynamic programming
- medical images
- model based diagnosis
- reinforcement learning algorithms
- selection criteria
- early diagnosis
- multiple faults