Point of Care Image Analysis for COVID-19

@article{Yaron2020PointOC,
  title={Point of Care Image Analysis for COVID-19},
  author={Daniel Yaron and Daphna Keidar and Elisha Goldstein and Yair Shachar and Ayelet Blass and Oz Frank and Nir Schipper and Nogah Shabshin and Ahuva Grubstein and Dror Suhami and Naama R. Bogot and Eyal Sela and Amiel A. Dror and Mordehay Vaturi and Federico Mento and Elena Torri and Riccardo Inchingolo and Andrea Smargiassi and Gino Soldati and Tiziano Perrone and Libertario Demi and Meirav Galun and Shai Bagon and Yishai M. Elyada and Yonina C. Eldar},
  journal={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2020},
  pages={8153-8157}
}
Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19 handling. COVID-19 is easier to detect in chest CT, however, it is expensive, non-portable, and difficult to dis-infect, making it unfit as a point-of-care (POC) modality. On the other hand, chest X-ray (CXR) and lung ultrasound (LUS) are widely used, yet, COVID-19 findings in these modalities are not always very… 

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