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fernando2rad/neuro_cnn_meningioma_39c

Neuro CNN Project - Fernando Feltrin Brain Meningioma images (39 classes) for image classification 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… See the full description on the dataset page: https://huggingface.co/datasets/fernando2rad/neuro_cnn_meningioma_39c.

sourceHugging Faceodc-byupdated 4y agoView on Hugging Face

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Dataset Card

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.