Correction to: Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment (European Radiology, (2022), 32, 5, (3161-3172), 10.1007/s00330-021-08410-x)

Pierre Antoine Bornet; Nicolas Villani; Romain Gillet; Edouard Germain; Charles Lombard; Alain Blum; Pedro Augusto Gondim Teixeira

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Correction to: Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment (European Radiology, (2022), 32, 5, (3161-3172), 10.1007/s00330-021-08410-x)

European Radiology

DOI: 10.1007/s00330-022-08551-7

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In this article, Tables 1, 2 and 3 had to be corrected due to formatting errors. The original article has been corrected.

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Bornet, P. A., Villani, N., Gillet, R., Germain, E., Lombard, C., Blum, A., & Gondim Teixeira, P. A. (2022, May 1). Correction to: Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment (European Radiology, (2022), 32, 5, (3161-3172), 10.1007/s00330-021-08410-x). European Radiology. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s00330-022-08551-7

Correction to: Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment (European Radiology, (2022), 32, 5, (3161-3172), 10.1007/s00330-021-08410-x)

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