Improving the Robustness of Deep-Learning Models in Predicting Hematoma Expansion from Admission Head CT
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Background and purpose: Robustness against input data perturbations is essential for deploying deep-learning models in clinical practice. Adversarial attacks involve subtle, voxel-level manipulations of scans to increase deep-lea... ...
