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Correction to: Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging.

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Title: Correction to: Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging.
Authors: Lotfalizadeh, Emad1 (AUTHOR), Ronot, Maxime1,2,3 (AUTHOR) maxime.ronot@bjn.aphp.fr, Wagner, Mathilde1,3 (AUTHOR), Cros, Jérôme2,4 (AUTHOR), Couvelard, Anne2,4 (AUTHOR), Vullierme, Marie-Pierre1 (AUTHOR), Allaham, Wassim1 (AUTHOR), Hentic, Olivia5 (AUTHOR), Ruszniewski, Philippe5 (AUTHOR), Vilgrain, Valérie1,2,3 (AUTHOR)
Source: European Radiology. Nov2020, Vol. 30 Issue 11, p6387-6387. 1p.
Subjects: Diffusion magnetic resonance imaging, Magnetic resonance imaging, Forecasting, Tumors
Abstract: The original version of this article, published on 19 August 2016, unfortunately contained a mistake. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Correction to: Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging.
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  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Nov2020, Vol. 30 Issue 11, p6387-6387. 1p.
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  Data: The original version of this article, published on 19 August 2016, unfortunately contained a mistake. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Nov2020
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