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What is A Two-Dimensional Sparse Matrix Profile about?

This study presents a novel approach for COVID-19 diagnosis using chest CT images by integrating a two-dimensional sparse matrix profile technique with deep learning models. The method enhances anomaly detection in CT images, allowing for the calculation of a severity score (CT-SS) that significantly differentiates COVID-19 from non-COVID-19 cases. The results demonstrate improved performance in diagnosing COVID-19 using anomaly-weighted images compared to raw images, validated through publicly available da

Author

Shiny Hillary

Language

EN