Multi-Class Brain Tumor MRI Dataset: Glioma, Healthy Brain, Meningioma, and Pituitary Macroadenoma

This dataset presents a high-quality collection of brain MRI images categorized into four clinically relevant classes: Glioma, Meningioma, Pituitary Macroadenoma, and Healthy brain scans. Each category contains 300 images, resulting in a balanced dataset of 1,200 images suitable for robust machine learning, deep learning, and radiological analysis.

All MRI images have been collected from verified medical sources and anonymized to ensure ethical compliance. A verification certificate is included to validate the authenticity and approved use of the dataset. The images capture diverse tumor characteristics, sizes, and anatomical variations, providing a comprehensive resource for academic and clinical research.

This dataset is intended to support a range of applications, including but not limited to: brain tumor classification, tumor detection, segmentation research, radiomics analysis, and AI-driven medical imaging model development. Its balanced class distribution and clear labeling make it particularly useful for training supervised learning models.