Dual-Domain Calibration with Source Rehearsal and Knowledge Distillation for Robust Cross-Dataset Classification
Automated peripheral blood cell classification has shown strong performance on curated microscopic image datasets, but model reliability can decrease when images are acquired from external sources with different visual characteristics. This study presents a reproducible deep learning protocol for five-class peripheral...