Crossmark

Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs

Published Online: 2021-08-10

Published Print: 2021-10

Authors

Stiehl, Bradley https://orcid.org/0000-0002-8334-9085
Lauria, Michael

Singhrao, Kamal

Goldin, Jonathan

Barjaktarevic, Igor

Low, Daniel

Santhanam, Anand
Funding

Funding for this research was provided by:

Tobacco-Related Disease Research Program (27IR‐0056)

National Institutes of Health (NIH R56 1R56HL139767‐01A1)

Ken and Wendy Ruby Foundation
License Information

Text and Data Mining valid from 2021-08-10

Version of Record valid from 2021-08-10
More Information

Article History

Received: 12 January 2021

Accepted: 6 July 2021

First Online: 10 August 2021

Declarations

:

: The authors declare that they have no conflict of interest.

: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

: Informed consent was obtained from all individual participants included in the study.

Document is current