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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

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