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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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/72015 |