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I am a research master student and I need the data to finish my thesis, I would like a MRI brain tumor dataset for classification, which contains certain classes from this list (malignant, benign, atypica, pituitary adenoma, pituitary cacinoma, craniopharvngioma, rathke's cleft cyst) Would you suggest a database please?

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Brain Tumor Classification (MRI) with four Classes MRI images into four classes

  • glioma_tumor
  • meningioma_tumor
  • no_tumor
  • pituitary_tumor

GitHub Link

The folder contains MRI data. The images are already split into Training and Testing folders. Each folder has more four subfolders. These folders have MRIs of respective tumor classes.


The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) is a challenge focused on brain tumor segmentation and occurs on a yearly basis on MICCAI. This dataset, from the 2015 challenge, contains data and expert annotations on four types of MRI images:

  • T1
  • T1c
  • T2
  • FLAIR

Download Here


Brain Tumor Segmentation(BraTS2020)


Additional References

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  • Thank you very much for your answer. I found that BRATS 2020 (3D images) contains two classes among the classes I am looking for (HGG / LGG) so I will use it. I just have to look for other datasets (3D images) that contain the other classes thank you – Hela Yahyaoui Jul 12 at 16:24
  • @HelaYahyaoui please don't forget to accept the answer you found most useful – Pluviophile Jul 13 at 6:42

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