kaitai-1/brain-tumour-MRI-scan

--- configs: - config_name: default data_files: - split: train path: - "Training/1-notumor/*.jpg" - "Training/2-glioma/*.jpg" - "Training/3-meningioma/*.jpg" - "Training/4-pituitary/*.jpg" - split: test path: - "Testing/1-notumor/*.jpg" - "Testing/2-glioma/*.jpg" - "Testing/3-meningioma/*.jpg" - "Testing/4-pituitary/*.jpg" task_categories: - image-classification language: - en size_categories: - 1K<n<10K --- ## Dataset description This dataset is a combination of the following three datasets : [Figshare](https://figshare.com/articles/dataset/brain_tumor_dataset/1512427)\ [SARTAJ dataset](https://github.com/sartajbhuvaji/brain-tumor-classification-dataset)\ [Br35H](https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection?select=no) This dataset contains 7023 images of human brain MRI images which are divided into 4 classes: glioma - meningioma - no tumor and pituitary. No tumor class images were taken from the Br35H dataset. ## Acknowledgement This dataset is reproduced and taken from [Kaggle](https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset)