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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

A survey on medical image analysis using deep reinforcement learning approach

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  • A survey on medical image analysis using deep reinforcement learning approach

Khushboo Ansarul-Haque Shaikh *

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
DOI url: https://doi.org/10.30574/wjarr.2024.21.2.0294
 
Received on 14 December 2023; revised on 30 January 2024; accepted on 02 February 2024
 
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.
 
Deep Reinforcement Learning; Medical Image Analysis; Disease Detection; Segmentation; Reinforcement Learning; Healthcare; Artificial Intelligence
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-0294.pdf

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Khushboo Ansarul-Haque Shaikh. A survey on medical image analysis using deep reinforcement learning approach. World Journal of Advanced Research and Reviews, 2024, 21(2), 041-054 . Article DOI: https://doi.org/10.30574/wjarr.2024.21.2.0294

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