COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model.

Nizam, Nusrat Binta; Siddiquee, Sadi Mohammad; Shirin, Mahbuba; Bhuiyan, Mohammed Imamul Hassan; Hasan, Taufiq

Nizam, Nusrat Binta; Siddiquee, Sadi Mohammad; Shirin, Mahbuba; Bhuiyan, Mohammed Imamul Hassan; Hasan, Taufiq.

Afiliação

Nizam NB; mHealth Research Group, Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1205, Bangladesh.
Siddiquee SM; mHealth Research Group, Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1205, Bangladesh.
Shirin M; Department of Radiology and Imaging, Bangabandhu Sheikh Mujib Medical University, Shahbagh, Dhaka, 1000, Bangladesh.
Bhuiyan MIH; Department of Electrical and Electronics Engineering (EEE), Bangladesh University of Engineering and Technology, Dhaka, 1205, Bangladesh.
Hasan T; mHealth Research Group, Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, 1205, Bangladesh. taufiq@bme.buet.ac.bd.

J Digit Imaging ; 36(5): 2100-2112, 2023 10.

Article em En | MEDLINE | ID: mdl-37369941

Assuntos

COVID-19; Aprendizado Profundo; Pneumonia; Humanos; COVID-19/diagnóstico por imagem; Pandemias; Raios X; SARS-CoV-2; Pneumonia/diagnóstico

Palavras-chave

Anatomy-aware modeling; COVID-19 severity prediction; Chest x-ray analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia / Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh

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