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Article (Scientific journals)
Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI)
Lessage, Xavier; Mahmoudi, Said; Mahmoudi, Sidi et al.
2021 • In International Journal of Computer Assisted Radiology and Surgery, 16 (Suppl 1) - S1-S119 (S1-S119), p. 64-65
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https://hdl.handle.net/20.500.12907/23901
 

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Research center :
CRTI - Centre de Recherche en Technologie de l'Information
Disciplines :
Electrical & electronics engineering
Radiology, nuclear medicine & imaging
Author, co-author :
Lessage, Xavier
Mahmoudi, Said  ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Mahmoudi, Sidi  ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Laraba, Sohaib ;  Université de Mons > Faculté Polytechnique > Service Information, Signal et Intelligence artificielle
Debauche, Olivier  ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Belarbi, Mohammed Amin
Language :
English
Title :
Deep Convolutional Neural Networks (CNN) for COVID-19 classification in chest X-ray images with Explainable Artificial Intelligence (XAI)
Publication date :
21 June 2021
Journal title :
International Journal of Computer Assisted Radiology and Surgery
ISSN :
1861-6410
Publisher :
Springer, Germany
Volume :
16 (Suppl 1) - S1-S119
Issue :
S1-S119
Pages :
64-65
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
F114 - Informatique, Logiciel et Intelligence artificielle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
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since 09 March 2021

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