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Accounting for gender-specific imaging characteristics in lung disease classification significantly boosts performance on minority disease categories often missed due to class imbalance.
Achieve state-of-the-art COVID-19 CT classification by predicting the data source and using that to intelligently fuse multiple specialized models.
