Articles
Published 16-04-2024
Keywords
- Deep Learning,
- Image Reconstruction,
- Computed Tomography,
- Medical Imaging,
- Neural Networks
How to Cite
[1]
Dr. Xiaohong Li, “Deep Learning-Based Image Reconstruction for Computed Tomography (CT) Scans”, Journal of Machine Learning for Healthcare Decision Support, vol. 4, no. 1, pp. 10–17, Apr. 2024, Accessed: Jan. 22, 2025. [Online]. Available: https://medlines.uk/index.php/JMLHDS/article/view/3
Abstract
This research paper presents a deep learning-based approach for image reconstruction in computed tomography (CT) scans. The use of deep learning in medical imaging has shown promising results in various applications, including image reconstruction. Traditional CT image reconstruction techniques often suffer from noise and artifacts, which can degrade the quality of the images and impact diagnostic accuracy. The proposed deep learning methods aim to address these challenges by leveraging the power of neural networks to reconstruct high-quality images from raw CT data.
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