Vol. 4 No. 1 (2024): Journal of Deep Learning in Genomic Data Analysis
Articles

Deep Learning-Based Medical Image Enhancement for Improved Visualization

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  • Rajeev Ranjan
Rajeev Ranjan
Asst. Professor, Jodhpur Institute of Engineering and Technology, Jodhpur, India
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Published 16-04-2024

Keywords

  • Deep learning,
  • Medical image enhancement,
  • Visualization,
  • Diagnostic accuracy

How to Cite

[1]
Rajeev Ranjan, “Deep Learning-Based Medical Image Enhancement for Improved Visualization”, Journal of Deep Learning in Genomic Data Analysis, vol. 4, no. 1, pp. 17–25, Apr. 2024, Accessed: Nov. 22, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/4

Abstract

Medical imaging plays a crucial role in modern healthcare for the diagnosis and treatment of various diseases. However, the quality of medical images can sometimes be suboptimal due to factors such as noise, low resolution, and artifacts. In this paper, we propose a deep learning-based approach for enhancing medical images to improve visualization and diagnostic accuracy. We demonstrate the effectiveness of our approach on a dataset of medical images, showing significant improvements in image quality and diagnostic performance. Our findings suggest that deep learning-based image enhancement techniques have the potential to revolutionize medical imaging and improve patient care.

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