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<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b>
Published 2025“…It provides high-quality, physician-validated pixel-level masks and a balanced multi-class classification split, suitable for benchmarking segmentation and classification algorithms as well as multi-task learning research.</p><p dir="ltr">Highlights<br>- 6,000 T1-weighted MRI slices (5,000 train / 1,000 test)<br>- Four classes: Glioma, Meningioma, Pituitary Tumor, No Tumor<br>- Pixel-wise segmentation masks reviewed by radiologists<br>- Slices from three anatomical planes: Axial, Coronal, Sagittal<br>- Clean, stratified train/test splits and aligned image–mask filenames</p><h2> Dataset structure</h2><p dir="ltr"><b>brisc2025/</b><br>├─ classification_task/<br>│ ├─ train/<br>│ │ ├─ glioma/<br>│ │ │ ├─ brisc2025_train_00001_gl_ax_t1.jpg<br>│ │ │ └─ ...…”