Brats MICCAI Brain tumor dataset

Brats MICCAI Brain tumor dataset

Citation Author(s):
Spyridon (Spyros)
Bakas
Perelman School of Medicine University of Pennsylvania
Submitted by:
khurram Ejaz
Last updated:
Fri, 02/28/2020 - 06:31
DOI:
10.21227/hdtd-5j88
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02/26/2021
Abstract: 

BraTS has always been focusing on the evaluation of state-of-the-art methods for the segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) scans. BraTS 2019 utilizes multi-institutional pre-operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS’19 also focuses on the prediction of patient overall survival, via integrative analyses of radiomic features and machine learning algorithms. Finally, BraTS'19 intends to experimentally evaluate the uncertainty in tumor segmentations.

Instructions: 

Here,  Instructions are to develop code to read the files. Where path of dataset should be set. From that path one counter read the files in particular sequence one by one.  From the path there will form four sub files in which dataset volumes are arrange in to T1, T2, Flair and T1Ce sequences. Every volume have 155 slices. Slices are infact MRI image. 155 slices are for one volume. And 210 Volumes are High grades Glioma dataset. Wereas 75 Volumes are in another type of glioma. Hence total is 285. Therefore for this huge dataset, Matlab is best plateform for programming but system memory should be more than 16 GB. Processor should be 3.0 Ghz. Hard disk should more 500 GB. 

Comments

The above images are just subset, Image are more than 200,000 but they are in form of nifti file and im readingthem through my own writen script. these image are taken from sequence T1, Volume is 1 and Slices are from 65 to 75.

The above images are just subset, Image are more than 200,000 but they are in form of nifti file and im readingthem through my own writen script. these image are taken from sequence T1, Volume is 1 and Slices are from 65 to 75.

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[1] , "Brats MICCAI Brain tumor dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/hdtd-5j88. Accessed: Jun. 02, 2020.
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doi = {10.21227/hdtd-5j88},
url = {http://dx.doi.org/10.21227/hdtd-5j88},
author = { },
publisher = {IEEE Dataport},
title = {Brats MICCAI Brain tumor dataset},
year = {2020} }
TY - DATA
T1 - Brats MICCAI Brain tumor dataset
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PY - 2020
PB - IEEE Dataport
UR - 10.21227/hdtd-5j88
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. (2020). Brats MICCAI Brain tumor dataset. IEEE Dataport. http://dx.doi.org/10.21227/hdtd-5j88
, 2020. Brats MICCAI Brain tumor dataset. Available at: http://dx.doi.org/10.21227/hdtd-5j88.
. (2020). "Brats MICCAI Brain tumor dataset." Web.
1. . Brats MICCAI Brain tumor dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/hdtd-5j88
. "Brats MICCAI Brain tumor dataset." doi: 10.21227/hdtd-5j88