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An automatic method to generate voxel-based absorbed doses from radioactivity distributions for nuclear medicine using generative adversarial networks: a feasibility study

Crossref DOI link: https://doi.org/10.1007/s13246-022-01149-9

Published Online: 2022-06-28

Published Print: 2022-09

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

Authors

Lin, Hui

Guo, Xin

Jing, Jia

Mao, Xiaoli

Yang, Yuanjun

Hu, Min
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Text and Data Mining valid from 2022-06-28

Version of Record valid from 2022-06-28
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Article History

Received: 14 September 2021

Accepted: 2 June 2022

First Online: 28 June 2022

Declarations

:

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

: The article does not contain any studies with human or animal subjects performed by any of the authors.

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