Correction to: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

Peters, Alan A; Huber, Adrian T; Obmann, Verena C; Heverhagen, Johannes T; Christe, Andreas; Ebner, Lukas (2023). Correction to: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario. European radiology, 33(5), pp. 3785-3787. Springer 10.1007/s00330-022-09350-w

[img] Text
s00330-022-09350-w.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.
Author holds Copyright

Download (1MB) | Request a copy

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Radiologie
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Radiologie

UniBE Contributor:

Peters, Alan Arthur, Huber, Adrian Thomas, Obmann, Verena Carola, Heverhagen, Johannes, Christe, Andreas, Ebner, Lukas

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1432-1084

Publisher:

Springer

Language:

English

Submitter:

Pubmed Import

Date Deposited:

09 Feb 2023 08:34

Last Modified:

22 Apr 2023 00:13

Publisher DOI:

10.1007/s00330-022-09350-w

Related URLs:

PubMed ID:

36752861

BORIS DOI:

10.48350/178555

URI:

https://boris.unibe.ch/id/eprint/178555

Actions (login required)

Edit item Edit item
Provide Feedback