https://github.com/amaanwanie/cnnbrainscan
Convolutional Neural Networks to analyze MRI or CT scans
https://github.com/amaanwanie/cnnbrainscan
brain-imaging brain-tumor-classification cnn-keras deep-learning neural-network tensorflow
Last synced: about 2 months ago
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Convolutional Neural Networks to analyze MRI or CT scans
- Host: GitHub
- URL: https://github.com/amaanwanie/cnnbrainscan
- Owner: AmaanWanie
- License: mit
- Created: 2024-03-16T12:40:48.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-24T13:29:06.000Z (over 1 year ago)
- Last Synced: 2025-01-11T06:15:35.738Z (over 1 year ago)
- Topics: brain-imaging, brain-tumor-classification, cnn-keras, deep-learning, neural-network, tensorflow
- Language: Python
- Homepage: https://brainctscan.streamlit.app/
- Size: 31.8 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# CNNBrainScan
CNN-based brain scans utilize Convolutional Neural Networks to analyze MRI or CT scans, aiding in diagnosing neurological conditions. These networks learn to detect subtle features and abnormalities, potentially improving diagnostic accuracy and patient outcomes.
trained on 8k+ images with a training accuracy of ~96% and validation accuracy of ~89%
dataset:https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri?rvi=1
classes:{'glioma_tumor': 0, 'meningioma_tumor': 1, 'normal': 2, 'pituitary_tumor': 3}