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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...
Autores principales: | Saha, Sanjib, Dutta, Subhadeep, Goswami, Biswarup, Nandi, Debashis |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
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 |
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