HUPatho2BrainTumor

HUPatho2BrainTumor This dataset contains histopathological images of brain tumors for use in machine learning classification models and research purposes. Dataset Overview The dataset is organized into 6 folders representing different brain tumor types and background brain tissue: Folder Tumor Type Cases Images G Glioblastoma, IDH-wild type 66 1,146 A Astrocytoma, IDH-mutant 26 248 O Oligodendroglioma, IDH-mutant, 1p19q-codeleted. 24 272 M Brain Metastases 81 1,041 L Primary Central Neural System Lymphoma 52 491 B Background Brain 147(augmented from 5 autopsy cases) 4,828 File Naming Convention Each folder contains images named as: `[Category][CaseNumber]_[ImageNumber].jpg` Example: `G0001_01.jpg` represents the first image of the first glioblastoma case Usage This dataset is suitable for: Training and evaluating brain tumor classification models Deep learning research in digital pathology Computer-aided diagnosis system development Medical image analysis studies Image Specifications Format: JPEG Multiple images per case to capture different regions and features Notes Case identifiers have been anonymized for privacy protection The dataset includes various augmentations for the background brain category to enhance model training Feel free to use this dataset for developing classification models and advancing research in computational pathology!