Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models

Reference : Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imagin...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Systems Biomedicine; Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/51681

Title :	Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models
Language :	English
Author, co-author :	Garcia Santa Cruz, Beatriz [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
	Bossa, Matias Nicolas [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience >]
	Soelter, Jan []
	Hertel, Frank [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > >]
	Husch, Andreas [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience >]
Publication date :	5-Apr-2022
Main document title :	Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden.
Pages :	114
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	Bildverarbeitung für die Medizin 2022
Event date :	June 26-28, 2022
Event organizer :	German Workshop on Medical Image Computing
Event place (city) :	Heidelberg
Event country :	Germany
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/51681
DOI :	10.1007/978-3-658-36932-3_24
Other URL :	https://link.springer.com/chapter/10.1007/978-3-658-36932-3_24#Bib1
FnR project :	FnR ; FNR12244779 > Jens Schwamborn > PARK-QC > Molecular, Organellar And Cellular Quality Control In Parkinson’S Disease And Other Neurodegenerative Diseases > 01/05/2018 > 31/10/2024 > 2017

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