• Corpus ID: 243938566

Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets

@article{Prajapati2021ExplanatoryAA,
  title={Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets},
  author={Samyak Prajapati and Japman Singh Monga and Shaanya Singh and Amrit Raj and Yuvraj Singh Champawat and Chandra Prakash},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.05679}
}
Since the onset of the COVID-19 pandemic in 2020, millions of people have succumbed to this deadly virus. Many attempts have been made to devise an automated method of testing that could detect the virus. Various researchers around the globe have proposed deep learning based methodologies to detect the COVID-19 using Chest X-Rays. However, questions have been raised on the presence of bias in the publicly available Chest X-Ray datasets which have been used by the majority of the researchers. In… 

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References

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