ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images

An automatic method for qualitative and quantitative evaluation of chest Computed Tomography (CT) images is essential for diagnosing COVID-19 patients. We aim to develop an automated COVID-19 prediction framework using deep learning. We put forth a novel Deep Neural Network (DNN) composed of an atte...

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Detalles Bibliográficos
Autores principales: Saha, Sanjib, Dutta, Subhadeep, Goswami, Biswarup, Nandi, Debashis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121143/
https://www.ncbi.nlm.nih.gov/pubmed/37122956
http://dx.doi.org/10.1016/j.bspc.2023.104974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121143/
https://www.ncbi.nlm.nih.gov/pubmed/37122956
http://dx.doi.org/10.1016/j.bspc.2023.104974

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