With the design exploration mode forming with machine-driven generation, previous researchers34 have designed the deep convolutional neural network COVID-Net-CT for COVID-19 testing based on CT images. The subsequent COVID-Net CT-236 was then designed using this architecture as its basis.
Jul 12, 2021
In this paper, a novel ensemble-based approach for more accurate COVID-19 disease detection using CT scan images is proposed.
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In this study we introduce enhanced deep neural networks for COVID-19 detection from chest CT images which are trained using a large, diverse, multinational ...
In this paper, we propose to use a computerized approach to show that the deep neural network (DNN) is a distinctive method to classify Covid-19 pandemic.
A number of deep learning-based methodologies have been recently proposed for COVID-19 screening in CT scans as a tool to automate and help with the diagnosis.
Feb 16, 2023 · In this article, we have proposed two separate deformable deep networks converting from the conventional convolutional neural network (CNN) and ...
In this paper, a novel ensemble-based approach for more accurate COVID-19 disease detection using CT scan images is proposed.
Aug 24, 2021 · Han et al. (2020) introduced a deep 3D multiple instance learning to detect the COVID-19 using CT images. High accuracy has been achieved (97.9 ...
Apr 26, 2021 · To detect COVID-19 in patients at an early stage of the disease from multiple lung CT scans, a state-of-the-art model based on a NASNet CNN ...
Aug 4, 2022 · This study tackles these concerns by introducing DL-based solutions for COVID-19 diagnosis using computerized tomography (CT) images and 12 cutting-edge DL pre ...