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University of Science and Technology of China
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ASR-driven data augmentation boosts Alzheimer's detection accuracy by over 4%, showcasing the potential of synthetic speech in clinical diagnostics.
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.