Weakly-Supervised Network for Detection of COVID-19 in Chest CT Scans.

Mohammed, Ahmed; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Cheikh, Faouzi Alaya

Mohammed, Ahmed; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Cheikh, Faouzi Alaya.

Afiliação

Mohammed A; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Wang C; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Zhao M; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Ullah M; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Naseem R; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Wang H; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Pedersen M; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.
Cheikh FA; Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway.

IEEE Access ; 8: 155987-156000, 2020.

Article em En | MEDLINE | ID: mdl-34812352

Palavras-chave

Attention; COVID-19; LSTM; computed tomography; deep learning; detection; enhancement; segmentation; weakly-supervised learning

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: IEEE Access Ano de publicação: 2020 Tipo de documento: Article

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