A survey on medical image analysis using deep reinforcement learning approach
Department of computer science, University of Mumbai, Mumbai, Maharashtra, India.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(02), 041–054
Article DOI: 10.30574/wjarr.2024.21.2.0294
Publication history:
Received on 14 December 2023; revised on 30 January 2024; accepted on 02 February 2024
Abstract:
The utilization of deep reinforcement learning (DRL) has brought about a significant transformation in the realm of medical image analysis. By merging the capabilities of deep neural networks with reinforcement learning techniques, DRL has become a potent tool for addressing complex healthcare issues. In this comprehensive survey paper, we delve into the latest developments and approaches in employing DRL for medical image analysis. We thoroughly investigate the primary challenges, methodologies, existing datasets, and offer a glimpse into the future potential of this interdisciplinary field. This exploration underscores the distinctive synergy between DRL and the analysis of medical images.
Keywords:
Deep Reinforcement Learning; Medical Image Analysis; Disease Detection; Segmentation; Reinforcement Learning; Healthcare; Artificial Intelligence
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0