A Brain Tumor Classification and Segmentation tool to easily detect from Magnetic Resonance Images or MRI. It works on a Convolutional Neural Network created using Keras.
- Accuracy: 97%
- Validation Accuracy: 91%
- Loss: 6%
- Validation Loss: 38%
- Train the model by running all the cells in
TrainingBTClassifier.ipynb. - In
Main.ipynb, change the value ofimg_pathto the location of your MRI Image. - Run all other cells of
Main.ipynb
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BraTS 2019
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.
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MIT License
Copyright © Aryan Felix