Deep learning system for brain tumor grading classification

The project aims to classify about 300 high- and low-grade glioma cases from MICCAI - BRATS 2015 Challenge Dataset. Each record has T1 MRI, T1 contrast-enhanced MRI, T2 MRI, and T2 Flair MRI. We use a convolutional neural network architecture for grade classification of each case. The main hallma...

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Bibliographic Details
Main Author: Nhan, Tran Ho Chi
Other Authors: Lin Zhiping
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72015
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Institution: Nanyang Technological University
Language: English
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