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Artificial Intelligence in Radiological COVID-19 Detection: A State-of-the-Art Review

  • Abhishek Kumar,
  • Pinki Roy,
  • Arnab Kumar Mishra,
  • Sujit Kumar Das

摘要

The requirement for the fast and accurate detection of COVID-19 is of high importance to control the spread of the disease. Recently, Artificial Intelligence and Deep Learning-based techniques have shown great promise in the domain of medical imaging. Several important research works have already been carried out to design automatic systems that can perform effective COVID-19 detection from radiological images like Chest X-Rays and CT Scans. In this work, we present a detailed state-of-the-art review of these research works, along with the techniques proposed and materials that can be used to further explore this area. With the identification of important future research directions, this work is expected to provide a good starting point for researchers exploring this area.