Datasets:
| license: odc-by | |
| task_categories: | |
| - image-classification | |
| tags: | |
| - brain mri images | |
| - brain images | |
| - brain tumor | |
| - brain meningioma | |
| - meningioma mri images | |
| pretty_name: Neuro CNN Brain Meningioma 39 classes | |
| size_categories: | |
| - 1K<n<10K | |
| # Neuro CNN Project - Fernando Feltrin | |
| # Brain Meningioma images (39 classes) for image classification | |
| ## Dataset Description | |
| - **More info: fernando2rad@gmail.com** | |
| ### Dataset Summary | |
| A collection of T1, contrast-enhanced, and T2-weighted MRI images of meningiomas sorted according to location in the brain. Images without any type of marking or patient identification, interpreted by radiologists and provided for study purposes. | |
| Images are separated by clivus / petroclival, sphenoid / cavernous sinus, anterior cranial fossa, medial cranial fossa, posterior cranial fossa, frontal / frontoparietal, frontotemporal, infratentorial / cerebellar, interhemispheric / suprasellar, intracisternal, intraventricular / parafalkyne, parietal / parietooccipital, supratentorial, temporal/temporoparietal. |