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Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes

Crossref DOI link: https://doi.org/10.1007/s00259-019-04663-3

Published Online: 2019-12-28

Published Print: 2020-07

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

Authors

Kim, Jun Pyo

Kim, Jeonghun

Kim, Yeshin

Moon, Seung Hwan

Park, Yu Hyun

Yoo, Sole

Jang, Hyemin

Kim, Hee Jin

Na, Duk L.

Seo, Sang Won http://orcid.org/0000-0002-4262-1468
Seong, Joon-Kyung
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Text and Data Mining valid from 2019-12-28

Version of Record valid from 2019-12-28
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Article History

Received: 21 August 2019

Accepted: 16 December 2019

First Online: 28 December 2019

Change Date: 10 February 2020

Change Type: Correction

Change Details: The Table 2 in the original version of this article contained a mistake in the alignment. Correct Table 2 presentation is presented here.

Change Date: 27 June 2020

Change Type: Correction

Change Details: Incorrect acknowledgments.

Updates are available Correction dated 2020-02-10

Click to view Correction: https://doi.org/10.1007/s00259-020-04693-2

Updates are available Correction dated 2020-06-27

Click to view Correction: https://doi.org/10.1007/s00259-020-04925-5