MTU-COVNet: A hybrid methodology for diagnosing the COVID-19 pneumonia with optimized features from multi-net

PURPOSE: The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (CT). MATERIALS AND METHODS: In this retrospective study, a novel hybrid model (MTU-COVNet) was developed to extract visual features fr...

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Detalles Bibliográficos
Autores principales: Kavuran, Gürkan, İn, Erdal, Geçkil, Ayşegül Altıntop, Şahin, Mahmut, Berber, Nurcan Kırıcı
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Artificial Intelligence, Informatics & Imaging Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473071/
https://www.ncbi.nlm.nih.gov/pubmed/34592696
http://dx.doi.org/10.1016/j.clinimag.2021.09.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473071/
https://www.ncbi.nlm.nih.gov/pubmed/34592696
http://dx.doi.org/10.1016/j.clinimag.2021.09.007

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