Corpus ID: 236134049

Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review

@article{Bharati2021MedicalIW,
  title={Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review},
  author={Subrato Bharati and Prajoy Podder and M. Rubaiyat Hossain Mondal and V. B. Surya Prasath},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.09602}
}
The outbreak of novel coronavirus disease (COVID- 19) has claimed millions of lives and has affected all aspects of human life. This paper focuses on the application of deep learning (DL) models to medical imaging and drug discovery for managing COVID-19 disease. In this article, we detail various medical imaging-based studies such as X-rays and computed tomography (CT) images along with DL methods for classifying COVID-19 affected versus pneumonia. The applications of DL techniques to medical… Expand
1 Citations
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It is shown here that for the case of CT images, CO-IRv2 with Nadam optimizer has better performance than existing DL algorithms in the diagnosis of COVID-19 patients. Expand

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