Reinforcement learning using Deep $$Q$$ Q networks and $$Q$$ Q learning accurately localizes brain tumors on MRI with very small training sets

Reinforcement learning using Deep $$Q$$ Q networks and $$Q$$ Q learning accurately localizes brain tumors on MRI with very small training sets

Abstract Background Supervised deep learning in radiology suffers from notorious inherent limitations: 1) It requires large, hand-annotated data sets; (2) It is non-generalizable; and (3) It lacks explainability and intuition. It has recently been proposed that reinforcement learning addresses all t...

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Bibliographic Details
Main Authors: J. N. Stember, H. Shalu
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Medical Imaging
Subjects:
Deep reinforcement learning
Reinforcement learning
Gridworld
Localization
Regression
Brain tumors
Online Access:https://doi.org/10.1186/s12880-022-00919-x

Internet

https://doi.org/10.1186/s12880-022-00919-x

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