Diversity-based two-phase pruning strategy for maximizing image segmentation generalization with applications in transmission electron microscopy
For artificial intelligence applications in transmission electron microscopy (TEM), hardware and computational constraints often obstruct real-time data processing, inflating operational costs, consuming valuable instrument time, and heightening the risk of damage to beam-sensitive specimens, thereby complicating reliable data interpretation.To add