Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review

Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review

Computed Tomography (CT) is a non-invasive imaging modality used to detect abnormalities in the human body with high precision. However, the electromagnetic radiation emitted during CT scans poses health risks, potentially leading to the development of metabolic abnormalities and genetic disorders,...

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Bibliographic Details
Main Authors: Muhammad Zubair, Helmi B. Md Rais, Fasee Ullah, Qasem Al-Tashi, Muhammad Faheem, Arfat Ahmad Khan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
image enhancement
image reconstruction
low dose CT image denoising
medial images denoising
noise removal techniques
Online Access:https://ieeexplore.ieee.org/document/10543199/
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