The use of artificial intelligence and deep learning reconstruction in urological computed tomography: Dose reduction at ghost level

The use of artificial intelligence and deep learning reconstruction in urological computed tomography: Dose reduction at ghost level

Objective: The objective of the study is to demonstrate that with the use of artificial intelligence (AI) in computed tomography (CT), radiation doses of CT kidney-ureter-bladder (KUB) and CT urogram (CTU) can be reduced to less than that of X-ray KUB and CT KUB, respectively, while maintaining the...

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Bibliographic Details
Main Authors:	Abdul Rauf, Saqib Javed, Bhargavi Chandrasekar, Saiful Miah, Margaret Lyttle, Mamoon Siraj, Rono Mukherjee, Christopher M McLeavy, Hazem Alaaraj, Richard Hawkins
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2023-01-01
Series:	Urology Annals
Subjects:	artificial intelligence computed tomography scan of kidney-ureter and bladder computed tomography-urogram deep learning reconstruction hybrid iterative reconstruction national diagnostic reference levels
Online Access:	http://www.urologyannals.com/article.asp?issn=0974-7796;year=2023;volume=15;issue=4;spage=417;epage=423;aulast=Rauf

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