Crossmark

A deep learning approach for 18F-FDG PET attenuation correction

Crossref DOI link: https://doi.org/10.1186/s40658-018-0225-8

Published Online: 2018-11-12

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Fang http://orcid.org/0000-0001-8032-6681
Jang, Hyungseok

Kijowski, Richard

Zhao, Gengyan

Bradshaw, Tyler

McMillan, Alan B.
License Information

Text and Data Mining valid from 2018-11-12
More Information

Article History

Received: 19 December 2017

Accepted: 2 August 2018

First Online: 12 November 2018

Ethics approval and consent to participate

: Our study was performed in compliance with the Health Insurance Portability and Accountability Act (HIPAA) regulations and with approval from our Institutional Review Board (IRB). Data collection for training and evaluation of the proposed method was performed utilizing an IRB-approved protocol for retrospective analysis.

: Not applicable.

: The authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.