most citedSCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing eess.IVShow all

1 paper · 1 filter

eess.IV2023

Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology

Peixiang Huang, Songtao Zhang, Yulu Gan +6

Deep learning in digital pathology brings intelligence and automation as substantial enhancements to pathological analysis, the gold standard of clinical diagnosis. However, multip…