| | --- |
| | license: cc0-1.0 |
| | tags: |
| | - BrainTumor |
| | models: |
| | - AIOmarRehan/Brain_Tumor_Classification_with_Grad-CAM |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: test |
| | path: data/test-* |
| | dataset_info: |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': glioma |
| | '1': meningioma |
| | '2': notumor |
| | '3': pituitary |
| | splits: |
| | - name: test |
| | num_bytes: 23698544 |
| | num_examples: 1311 |
| | download_size: 25969079 |
| | dataset_size: 23698544 |
| | --- |
| | |
| | # 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. |
| |
|
| | --- |
| |
|
| | ## 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. |
| |
|
| | --- |
| |
|
| | ## 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. |
| |
|
| | --- |
| |
|
| | ## 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. |
| |
|
| | --- |
| |
|
| | ## 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. |
| |
|
| | --- |
| |
|
| | ## License |
| | [CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/) |
