Correction to: Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Aug 2019
Historique:
pubmed: 28 5 2019
medline: 28 5 2019
entrez: 29 5 2019
Statut: ppublish

Résumé

The original version of this article, published on 11 April 2019, unfortunately, contained a mistake. The following correction has therefore been made in the original: The image in Fig. 3c was wrong. The corrected figure is given below. The original article has been corrected.

Identifiants

pubmed: 31134364
doi: 10.1007/s00330-019-06249-x
pii: 10.1007/s00330-019-06249-x
doi:

Types de publication

Published Erratum

Langues

eng

Pagination

4526-4527

Commentaires et corrections

Type : ErratumFor

Auteurs

Motonori Akagi (M)

Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.

Yuko Nakamura (Y)

Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan. yukon@hiroshima-u.ac.jp.

Toru Higaki (T)

Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.

Keigo Narita (K)

Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.

Yukiko Honda (Y)

Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.

Jian Zhou (J)

Canon Medical Research USA, Inc., Vernon Hills, IL, USA.

Zhou Yu (Z)

Canon Medical Research USA, Inc., Vernon Hills, IL, USA.

Naruomi Akino (N)

Canon Medical Systems Co. Ltd., Otawara, Japan.

Kazuo Awai (K)

Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.

Classifications MeSH