Custom Deep Neural Network for 3D Covid Chest CT-scan Classification

Quoc Huy Trinh; Minh Van Nguyen

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arXiv · 2107.01456

Custom Deep Neural Network for 3D Covid Chest CT-scan Classification

Quoc Huy Trinh·Minh Van Nguyen

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Abstract

3D CT-scan base on chest is one of the controversial topisc of the researcher nowadays. There are many tasks to diagnose the disease through CT-scan images, include Covid19. In this paper, we propose a method that custom and combine Deep Neural Network to classify the series of 3D CT-scans chest images. In our methods, we experiment with 2 backbones is DenseNet 121 and ResNet 101. In this proposal, we separate the experiment into 2 tasks, one is for 2 backbones combination of ResNet and DenseNet, one is for DenseNet backbones combination.

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Quoc Huy Trinh, Minh Van Nguyen. 2021-07-03. Custom Deep Neural Network for 3D Covid Chest CT-scan Classification. https://arxiv.org/abs/2107.01456

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