Deep learning architecture for the classification of COVID-19 and others pneumonias sources on lung CT imaging
A. Vaidyanathan (Liege, Belgium), J. Guiot (Liege, Belgium), F. Zerka (Liege, Belgium), L. Deprez (Liege, Belgium), D. Danthine (Liege, Belgium), F. Bottari (Liege, Belgium), G. Canivet (Liege, Belgium), P. Lambin (Maastricht, Netherlands), S. Walsh (Liege, Belgium), M. Occhipinti (Liege, Belgium), P. Meunier (Liege, Belgium), W. Vos (Liege, Belgium), P. Lovinfosse (Liege, Belgium), R. Leijenaar (Liege, Belgium), This Work Has Received Support From The Eu/efpia Innovative Medicines Initiative 2 Joint Undertaking Dragon Grant N° No 101005122 (Liege, Belgium)
Source: Virtual Congress 2021 – Imaging
Session: Imaging
Session type: Oral Presentation
Number: 1561
Rating:
You must login to grade this presentation.
Share or cite this content
Citations should be made in the following way:
A. Vaidyanathan (Liege, Belgium), J. Guiot (Liege, Belgium), F. Zerka (Liege, Belgium), L. Deprez (Liege, Belgium), D. Danthine (Liege, Belgium), F. Bottari (Liege, Belgium), G. Canivet (Liege, Belgium), P. Lambin (Maastricht, Netherlands), S. Walsh (Liege, Belgium), M. Occhipinti (Liege, Belgium), P. Meunier (Liege, Belgium), W. Vos (Liege, Belgium), P. Lovinfosse (Liege, Belgium), R. Leijenaar (Liege, Belgium), This Work Has Received Support From The Eu/efpia Innovative Medicines Initiative 2 Joint Undertaking Dragon Grant N° No 101005122 (Liege, Belgium). Deep learning architecture for the classification of COVID-19 and others pneumonias sources on lung CT imaging. 1561
You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
Related content which might interest you:
Related content which might interest you: