KL-regularised Group DRO improves F1 scores for multi-site COVID-19 CT classification and gender-fair four-class lung pathology recognition over prior challenge baselines.
Advancing lung disease diagnosis in 3d ct scans.arXiv preprint arXiv:2507.00993
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A multi-task model with EfficientNet-B7 predicts COVID-19 and source center using logit-adjusted loss, achieving F1 0.9098 and AUC 0.9647 on 308 multi-center scans.
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Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
KL-regularised Group DRO improves F1 scores for multi-site COVID-19 CT classification and gender-fair four-class lung pathology recognition over prior challenge baselines.
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Robust Multi-Source Covid-19 Detection in CT Images
A multi-task model with EfficientNet-B7 predicts COVID-19 and source center using logit-adjusted loss, achieving F1 0.9098 and AUC 0.9647 on 308 multi-center scans.