English

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

Image and Video Processing 2021-07-06 v1 Computer Vision and Pattern Recognition

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.

Keywords

Cite

@article{arxiv.2107.01456,
  title  = {Custom Deep Neural Network for 3D Covid Chest CT-scan Classification},
  author = {Quoc Huy Trinh and Minh Van Nguyen},
  journal= {arXiv preprint arXiv:2107.01456},
  year   = {2021}
}
R2 v1 2026-06-24T03:52:01.467Z