The insights presented in this study can act as a baseline for more advanced investigations into the utility of such loss functions in deep learning-based side-channel analysis.” Find the technical ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...

These challenges are compounded by panicle variations across rice types and growth stages. Addressing these issues, the new LKNet model extends P2PNet’s framework with dynamic receptive field ...

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...

In a novel study, researchers from the Icahn School of Medicine at Mount Sinai introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants ...