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

GARCIA SANTA CRUZ, Beatriz; BOSSA, Matias Nicolas; Soelter, Jan; HERTEL, Frank; HUSCH, Andreas

doi:10.1007/978-3-658-36932-3_24

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

GARCIA SANTA CRUZ, Beatriz; BOSSA, Matias Nicolas; Soelter, Jan et al.

2022 • In Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden.

Peer reviewed

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https://hdl.handle.net/10993/51681

DOI
10.1007/978-3-658-36932-3_24

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Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

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

External co-authors :

yes

Language :

English

Title :

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

Publication date :

05 April 2022

Event name :

Bildverarbeitung für die Medizin 2022

Event organizer :

German Workshop on Medical Image Computing

Event place :

Heidelberg, Germany

Event date :

June 26-28, 2022

Audience :

International

Main work title :

Bildverarbeitung für die Medizin 2022. Informatik aktuell. Springer Vieweg, Wiesbaden.

Pages :

114

Peer reviewed :

Peer reviewed

Focus Area :

Systems Biomedicine
Computational Sciences

Additional URL :

https://link.springer.com/chapter/10.1007/978-3-658-36932-3_24#Bib1

FnR Project :

FNR12244779 - Molecular, Organellar And Cellular Quality Control In Parkinson'S Disease And Other Neurodegenerative Diseases, 2017 (01/05/2018-31/10/2024) - Jens Schwamborn

Available on ORBilu :

since 18 July 2022

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