--- 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. --- ## 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/)