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license: cc0-1.0 |
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tags: |
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- BrainTumor |
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models: |
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- AIOmarRehan/Brain_Tumor_Classification_with_Grad-CAM |
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--- |
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# Brain Tumor MRI Dataset |
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## Overview |
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This dataset contains **7,023 human brain MRI images** organized into **four categories**: |
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- Glioma |
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- Meningioma |
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- Pituitary |
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- No Tumor |
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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 |
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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 |
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- **Total images:** 7,023 |
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- **Classes:** Glioma, Meningioma, Pituitary, No Tumor |
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- **Image format:** MRI scans |
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- **Preprocessing:** Image sizes vary; resizing and margin removal are recommended before training. |
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> 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 |
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- **Classification tasks:** Predict tumor type (glioma, meningioma, pituitary, no tumor). |
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- **Segmentation tasks:** Identify tumor location within the brain MRI. |
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- **Multi-task models:** Detect, classify, and locate tumors using a single CNN-based model. |
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## Citation & Feedback |
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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 |
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[CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/) |
