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Distinguishing Adenocarcinomas from Granulomas in the CT scan of the chest: performance degradation evaluation in the automatic segmentation framework

Crossref DOI link: https://doi.org/10.1186/s13104-021-05502-1

Published Online: 2021-03-09

Published Print: 2021-12

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

Authors

Tavakoli, Mahsa Bank

Orooji, Mahdi

Teimouri, Mehdi http://orcid.org/0000-0003-4662-5535
Shahabifar, Ramita
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Text and Data Mining valid from 2021-03-09

Version of Record valid from 2021-03-09
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Article History

Received: 28 November 2020

Accepted: 25 February 2021

First Online: 9 March 2021

Declarations

:

: In the research, All the CT scans in the private Dataset were achieved as the clinical standard care of the patients in accordance with the Declaration of Helsinki supervised by the Ethics Committee of the Kerman University Of Medical Science (Ethics Code: IR.KMU.REC.1398.734). All the informed consents have been obtained in writing, and the Ethics Committee of the Kerman University of Medical Science approved this procedure.

: Not applicable.

: The authors declare that they have no competing interests.

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