AIOmarRehan/Brain_Tumor_MRI_Dataset

Brain Tumor MRI Dataset

Overview

This dataset contains 7,023 human brain MRI images organized into four categories:

• Glioma
• Meningioma
• Pituitary
• No Tumor

It is designed for research in brain tumor detection and classification using deep learning methods. The dataset is a combination of three sources: Figshare, SARTAJ, and Br35H. Note that the "No Tumor" class images were sourced from the Br35H dataset.

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Motivation

Early and accurate detection of brain tumors is critical for treatment planning and patient survival. Automated classification using deep learning, particularly Convolutional Neural Networks (CNNs), can assist in identifying tumor type, location, and malignancy grade, helping medical professionals make informed decisions faster.

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Dataset Details

• Total images: 7,023
• Classes: Glioma, Meningioma, Pituitary, No Tumor
• Image format: MRI scans
• Preprocessing: Image sizes vary; resizing and margin removal are recommended before training.

Note: Some glioma images in the original SARTAJ dataset were incorrectly labeled. Those images have been replaced with correct ones from Figshare.

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Recommended Usage

• Classification tasks: Predict tumor type (glioma, meningioma, pituitary, no tumor).
• Segmentation tasks: Identify tumor location within the brain MRI.
• Multi-task models: Detect, classify, and locate tumors using a single CNN-based model.

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Citation & Feedback

If you use this dataset, please consider citing it or giving feedback. Your suggestions and comments are welcome and help improve future versions.

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License

CC0: Public Domain