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A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset

Crossref DOI link: https://doi.org/10.1007/s11604-021-01184-8

Published Online: 2021-07-28

Published Print: 2022-01

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

Authors

Kitahara, Hitoshi https://orcid.org/0000-0002-2093-2572
Nagatani, Yukihiro

Otani, Hideji

Nakayama, Ryohei

Kida, Yukako

Sonoda, Akinaga

Watanabe, Yoshiyuki
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Text and Data Mining valid from 2021-07-28

Version of Record valid from 2021-07-28
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Article History

Received: 24 May 2021

Accepted: 21 July 2021

First Online: 28 July 2021

Declarations

:

: Yoshiyuki Watanabe received a research grant from Canon Medical Systems Corp. All other authors declare that they have no conflict of interest.

: This work was approved by the local institutional review board (No. R2020-178).

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