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eXplainable by design approach for COVID-19 classification via CT Scan

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https://github.com/Plamen-Eduardo/xDNN-SARS-CoV-2-CT-Scan

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An eXplainable Deep Learning approach (xDNN) for detecting COVID-19 which could achieve an F1 score of 0.9731 which is very promising. By our partners at Lancaster University, PlamenLancaster.

The data is available www.kaggle.com/plameneduardo/sarscov2-ctscan-dataset.

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