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This document has been corrected

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

10.1007/s00330-020-07537-7

Published Online: 2021-01-07

Journal: European Radiology•Publisher: Springer Science and Business Media LLC

Authors: Chulkyun Ahn•Hyewon Choi•Jin Mo Goo•Jong Hyo Kim•Jongsoo Park•Ju Gang Nam•Wonju Hong

This document has been corrected

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

10.1007/s00330-020-07537-7

Published Online: 2021-01-07

Journal: European Radiology

Authors: Chulkyun Ahn•Hyewon Choi•Jin Mo Goo•Jong Hyo Kim•Jongsoo Park•Ju Gang Nam•Wonju Hong

NOW

2021-02-15•Correction

Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

10.1007/s00330-021-07733-z

* information provided by CrossRef

2021-02-15•Correction

10.1007/s00330-021-07733-z

* information provided by CrossRef

2021-01-07•Published