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Using gray level co-occurrence matrix texture features extracted from dual time point PET/CT images to diagnose malignant FDG-avid solitary pulmonary nodules

Crossref DOI link: https://doi.org/10.1007/s42058-022-00107-4

Published Online: 2022-11-01

Published Print: 2022-12

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

Authors

Chen, Song https://orcid.org/0000-0002-2639-6301
Li, Xuena

Chen, Meijie

Jeraj, Robert

Li, Yaming
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (81901816)
License Information

Text and Data Mining valid from 2022-11-01

Version of Record valid from 2022-11-01
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Article History

Received: 15 September 2022

Revised: 16 October 2022

Accepted: 23 October 2022

First Online: 1 November 2022

Declarations

:

: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional. This study was retrospective, and its results did not influence further therapeutic decision-making.

: This study was approved by the ethics committee of our institution, and formal consent is not required.

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