Metadata for Simulated Brain Lesion Classification Tasks

The BrainLesion-15Class (100 Patients) dataset is a fully synthetic metadata collection representing 100 simulated brain MRI cases labeled with 15 real-world-inspired lesion types such as Glioma, Stroke, MS, and AVM. Each entry includes demographic info (age, gender), imaging modality (T1, T2, FLAIR, T1c), scan resolution, and scanner type. The dataset is ideal for machine learning tasks like multi-class classification, metadata filtering, and data stratification, while being completely privacy-safe and non-clinical.