Overcoming clinical data constraints and class imbalance: enhancing brain tumor diagnosis with deep learning on real-world MRI datasets
This study presents innovative approaches for diagnosing and classifying brain tumors from MRI images using advanced deep learning models to address clinical data constraints — including single-center acquisition, slice-level (not pixel-level) labeling, and real-world imaging variability — alongside extreme class...