Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks

@inproceedings{Lokwani2021AutomatedDO,
  title={Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks},
  author={Rohit Lokwani and Ashrika Gaikwad and V. Kulkarni and A. Pant and A. Kharat},
  booktitle={ICPRAM},
  year={2021}
}
COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003). Currently, swab samples are being used for its diagnosis. The most common testing method used is the RT-PCR method, which has high specificity but variable sensitivity. AI-based detection has the capability to overcome this drawback. In this paper, we propose a prospective method wherein we use chest CT scans to diagnose the patients for COVID-19 pneumonia. We use a set of open-source… Expand
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References

SHOWING 1-10 OF 41 REFERENCES
Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
Chest CT Findings in Cases from the Cruise Ship Diamond Princess with Coronavirus Disease (COVID-19)
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
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