  One of the most contentious areas of research in Medical Image Preprocessing
is 3D CT-scan. With the rapid spread of COVID-19, the function of CT-scan in
properly and swiftly diagnosing the disease has become critical. It has a
positive impact on infection prevention. There are many tasks to diagnose the
illness through CT-scan images, include COVID-19. In this paper, we propose a
method that using a Stacking Deep Neural Network to detect the Covid 19 through
the series of 3D CT-scans images . In our method, we experiment with two
backbones are DenseNet 121 and ResNet 101. This method achieves a competitive
performance on some evaluation metrics
