Hossein loghmani

Overcoming clinical data constraints and class imbalance: enhancing brain tumor diagnosis with deep learning on real-world MRI datasets

Improvements in detection accuracy and interpretability reveal a critical trade-off: while macro-accuracy reaches 97.1%, Metastatic tumor recall remains at 75% — underscoring that clinical AI must prioritize equitable error distribution over aggregate metrics.