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Found 3 papers, 2 papers with code
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network
We also provide a visualization of the attention maps of the model for several test images, and show that our model is attending to the infected regions as intended.
COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net
Through experimental results on a relatively large-scale CT segmentation dataset of around 900 images, we show that adding this new regularization term leads to 2\% gain on overall segmentation performance compared to the U-Net model.
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning
In this work, we propose a model based on sentence Transformer to detect the main topics of Tweets in recent months.
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