Correction: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation (Radiation Oncology, (2022), 17, 1, (129), 10.1186/s13014-022-02102-6)
Marschner S, Datar M, Gaasch A, Xu Z, Grbic S, Chabin G, Geiger B, Rosenman J, Corradini S, Niyazi M, Heimann T, Möhler C, Vega F, Belka C, Thieke C (2022)
Publication Type: Journal article, Erratum
Publication year: 2022
Journal
Book Volume: 17
Article Number: 149
Journal Issue: 1
DOI: 10.1186/s13014-022-02110-6
Abstract
After publication of this article [1], the authors reported that the author name ‘Manasi Datar’ was incorrectly written as ‘Manasi Datarb’. The original article [1] has been corrected.
Involved external institutions
Klinikum der Universität München (LMU Klinikum)
Germany (DE)
Siemens AG, Healthcare Sector
Germany (DE)
University of North Carolina at Chapel Hill
United States (USA) (US)
Germany (DE)
Siemens AG, Healthcare Sector
Germany (DE)
University of North Carolina at Chapel Hill
United States (USA) (US)
How to cite
APA:
Marschner, S., Datar, M., Gaasch, A., Xu, Z., Grbic, S., Chabin, G.,... Thieke, C. (2022). Correction: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation (Radiation Oncology, (2022), 17, 1, (129), 10.1186/s13014-022-02102-6). Radiation Oncology, 17(1). https://doi.org/10.1186/s13014-022-02110-6
MLA:
Marschner, Sebastian, et al. "Correction: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation (Radiation Oncology, (2022), 17, 1, (129), 10.1186/s13014-022-02102-6)." Radiation Oncology 17.1 (2022).
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