Res-Dense Net for 3D Covid Chest CT-scan classification

• URL: http://arxiv.org/abs/2208.04613v1
• Date: Tue, 9 Aug 2022 09:13:00 GMT
• Title: Res-Dense Net for 3D Covid Chest CT-scan classification
• Authors: Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen Dinh
• Abstract summary: We propose a method that using a Stacking Deep Neural Network to detect the Covid 19 through the series of 3D CT-scans images. This method achieves a competitive performance on some evaluation metrics.
• Score: 4.587122314291089
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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

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