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Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine 2/2020

Open Access 29.10.2019 | Correction

Correction to: Semi-automatic segmentation from intrinsically-registered 18F-FDG–PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE–MRI

verfasst von: Maren Marie Sjaastad Andreassen, Pål Erik Goa, Torill Eidhammer Sjøbakk, Roja Hedayati, Hans Petter Eikesdal, Callie Deng, Agnes Østlie, Steinar Lundgren, Tone Frost Bathen, Neil Peter Jerome

Erschienen in: Magnetic Resonance Materials in Physics, Biology and Medicine | Ausgabe 2/2020

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The original article can be found online at https://​doi.​org/​10.​1007/​s10334-019-00778-8.

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Correction to: Magnetic Resonance Materials in Physics, Biology and Medicine https://​doi.​org/​10.​1007/​s10334-019-00778-8

The original version of this article unfortunately contained a mistake in Fig. 6.
The corrected Fig. 6 is placed in the following page.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Metadaten
Titel
Correction to: Semi-automatic segmentation from intrinsically-registered 18F-FDG–PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE–MRI
verfasst von
Maren Marie Sjaastad Andreassen
Pål Erik Goa
Torill Eidhammer Sjøbakk
Roja Hedayati
Hans Petter Eikesdal
Callie Deng
Agnes Østlie
Steinar Lundgren
Tone Frost Bathen
Neil Peter Jerome
Publikationsdatum
29.10.2019
Verlag
Springer International Publishing
Erschienen in
Magnetic Resonance Materials in Physics, Biology and Medicine / Ausgabe 2/2020
Print ISSN: 0968-5243
Elektronische ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-019-00789-5

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