Optimizing computed tomography image reconstruction for focal hepatic lesions: Deep learning image reconstruction vs iterative reconstruction-Reference-Cited by-同舟云学术

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Optimizing computed tomography image reconstruction for focal hepatic lesions: Deep learning image reconstruction vs iterative reconstruction

Published:2024-08 Issue:15 Volume:10 Page:e34847
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Jaruvongvanich Varin^ORCID,Muangsomboon Kobkun,Teerasamit Wanwarang,Suvannarerg Voraparee,Komoltri Chulaluk,Thammakittiphan Sastrawut,Lornimitdee Wimonrat,Ritsamrej Witchuda,Chaisue Parinya,Pongnapang Napapong,Apisarnthanarak Piyaporn

Publisher

Elsevier BV

Reference53 articles.

1. The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence;Willemink;Eur. Radiol.,2019

2. Computed tomography--an increasing source of radiation exposure;Brenner;N. Engl. J. Med.,2007

3. Estimated risks of radiation-induced fatal cancer from pediatric CT;Brenner;AJR Am. J. Roentgenol.,2001

4. Risk of cancer from diagnostic X-rays: estimates for the UK and 14 other countries;Berrington de González;Lancet,2004

5. Radiation risk from CT: implications for cancer screening;Albert;AJR Am. J. Roentgenol.,2013

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