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Development of an individual display optimization system based on deep convolutional neural network transition learning for somatostatin receptor scintigraphy

Crossref DOI link: https://doi.org/10.1007/s12194-023-00766-7

Published Online: 2024-01-02

Published Print: 2024-03

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

Authors

Matsumoto, Shun https://orcid.org/0009-0009-3691-4596
Nakahara, Yuki

Yonezawa, Teppei

Nakamura, Yuto

Tanabe, Masahiro

Higashi, Mayumi

Shiraishi, Junji
Funding

Funding for this research was provided by:

PDRadiopharma Inc.
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Text and Data Mining valid from 2024-01-02

Version of Record valid from 2024-01-02
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Article History

Received: 20 July 2023

Revised: 13 November 2023

Accepted: 26 November 2023

First Online: 2 January 2024

Declarations

:

: Co-investigator Junji Shiraishi was supported in part by a research grant from PD Radiopharma Inc.

: Ethical approval for case use was obtained from the institutional review board (IRB) of both the authors’ institutions.

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