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Multi-label segmentation and detection of COVID-19 abnormalities from chest radiographs using deep learning

Due to COVID-19, demand for Chest Radiographs (CXRs) have increased exponentially. Therefore, we present a novel fully automatic modified Attention U-Net (CXAU-Net) multi-class segmentation deep model that can detect common findings of COVID-19 in CXR images. The architectural design of this model i...

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Detalles Bibliográficos
Autores principales:	Arora, Ruchika, Saini, Indu, Sood, Neetu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier GmbH. 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349421/ https://www.ncbi.nlm.nih.gov/pubmed/34393275 http://dx.doi.org/10.1016/j.ijleo.2021.167780

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