Published April 25, 2025 | Version v1

Brain Tumor Segmentation Dataset

Description

This dataset was gathered from King Abdullah University Hospital  in jordan . It was created to be a reference for researchers in the field of brain tumor segmentation using deep learning techniques. The dataset consists of 49  Glioma (patients) divided into 45 patients as training dataset and 4 patients as testing dataset. For every patient there are two 2D MRI sequences: FLAIR and T2 and the third is labelling file. Many preprosessing techniques were applied on data such as skull stripping , Bias Field Correction  to be ready to fed into deep learning algorithms.

 

 

Files

Files (367.8 MB)

Name Size
md5:b83b9c5bbd8b4185c7d8a54f6273b6aa
35.3 MB Download
md5:b6fbfbe8f476adf3e4787cd3025eb863
332.5 MB Download