EconPapers    
Economics at your fingertips  
 

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

Omar S. M. El Nahhas, Chiara M. L. Loeffler, Zunamys I. Carrero, Marko Treeck, Fiona R. Kolbinger, Katherine J. Hewitt, Hannah S. Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge S. Reis-Filho and Jakob Nikolas Kather ()
Additional contact information
Omar S. M. El Nahhas: TUD Dresden University of Technology
Chiara M. L. Loeffler: TUD Dresden University of Technology
Zunamys I. Carrero: TUD Dresden University of Technology
Marko Treeck: TUD Dresden University of Technology
Fiona R. Kolbinger: TUD Dresden University of Technology
Katherine J. Hewitt: TUD Dresden University of Technology
Hannah S. Muti: TUD Dresden University of Technology
Mara Graziani: University of Applied Sciences of Western Switzerland (HES-SO Valais)
Qinghe Zeng: Sorbonne Université, Université Paris Cité
Julien Calderaro: Assistance Publique-Hôpitaux de Paris, Département de Pathologie, CHU Henri Mondor
Nadina Ortiz-Brüchle: University Hospital RWTH Aachen
Tanwei Yuan: German Cancer Research Center (DKFZ)
Michael Hoffmeister: German Cancer Research Center (DKFZ)
Hermann Brenner: German Cancer Research Center (DKFZ)
Alexander Brobeil: University Hospital Heidelberg
Jorge S. Reis-Filho: Memorial Sloan Kettering Cancer Center
Jakob Nikolas Kather: TUD Dresden University of Technology

Nature Communications, 2024, vol. 15, issue 1, 1-1

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-46298-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46298-5

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-46298-5

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46298-5