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article · Journal of King Saud University - Science

Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images

202219 citationsOpen accessKafr el-Sheikh University

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Abstract

Such robustness is crucial for real-world applications where data is usually unavailable, corrupted, or adulterated.

Research topics

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Anomaly Detection Techniques and Applications

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DOI: 10.1016/j.jksus.2022.101898

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