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license: cc0-1.0
tags:
- BrainTumor
models:
- AIOmarRehan/Brain_Tumor_Classification_with_Grad-CAM
---
# 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](https://creativecommons.org/publicdomain/zero/1.0/) |