• Corpus ID: 244478617

Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images

@article{Morani2021DeepLB,
  title={Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images},
  author={Kenan Morani and Devrim {\"U}nay},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.11191}
}
The paper presents a Convolutional Neural Networks (CNN) model for image classification, aiming at increasing predictive performance for COVID-19 diagnosis while avoiding deeper and thus more complex alternatives. The proposed model includes four similar convolutional layers followed by a flattening and two dense layers. This work proposes a less complex solution based on simply classifying 2D CT-Scan slices of images using their pixels via a 2D CNN model. Despite the simplicity in architecture… 

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