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Datasets:
fernando2rad
/
neuro_cnn_meningioma_39c

Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Size:
1K - 10K
Tags:
brain mri images
brain images
brain tumor
brain meningioma
meningioma mri images
Libraries:
Datasets
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Dataset card Viewer Files Community
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metadata
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

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.