Artificial Intelligence for Radiation Dose Optimization in Pediatric Radiology: A Systematic Review

Artificial Intelligence for Radiation Dose Optimization in Pediatric Radiology: A Systematic Review

Radiation dose optimization is particularly important in pediatric radiology, as children are more susceptible to potential harmful effects of ionizing radiation. However, only one narrative review about artificial intelligence (AI) for dose optimization in pediatric computed tomography (CT) has bee...

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Bibliographic Details
Main Author: Ng, Curtise
Other Authors: Tsiflikas, Ilias
Format: Journal Article
Published: MDPI 2022
Subjects:
as low as reasonably achievable
computed tomography
convolutional neural network
deep learning
dose reduction
generative adversarial network
image processing
machine learning
medical imaging
noise
Online Access:https://www.mdpi.com/journal/children
http://hdl.handle.net/20.500.11937/88895

Internet

https://www.mdpi.com/journal/children
http://hdl.handle.net/20.500.11937/88895

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