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…