arXiv cs.LG
· Papers
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
arXiv:2407.13632v2 Announce Type: replace-cross Abstract: Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning. For histopathology, stain normalization techniques can mitigate