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A new deep learning architecture leverages cross-stage attention and a mixture of experts to push breast ultrasound image classification accuracy to 96.33%, potentially improving early breast cancer diagnosis.
Guaranteeing privacy in multi-stream change detection doesn't have to sacrifice detection speed, as demonstrated by a new algorithm with provable privacy-efficiency tradeoffs.