https://github.com/swsword1234/xray-pneumonia-classification-cnn-project
This project utilizes (CNN) to accurately classify X-Ray images for pneumonia detection. It explores three different approaches to handle data imbalance and achieve optimal model performance. The project includes detailed evaluation metrics and use Streamlit which enables a seamless classification.
https://github.com/swsword1234/xray-pneumonia-classification-cnn-project
cnn cnn-model cv2 deep-learning keras keras-tensorflow penumonia pneumonia-classification smote streamlit tensorflow xray xray-images
Last synced: 28 days ago
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This project utilizes (CNN) to accurately classify X-Ray images for pneumonia detection. It explores three different approaches to handle data imbalance and achieve optimal model performance. The project includes detailed evaluation metrics and use Streamlit which enables a seamless classification.
- Host: GitHub
- URL: https://github.com/swsword1234/xray-pneumonia-classification-cnn-project
- Owner: swsword1234
- Created: 2025-02-09T17:33:19.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T19:18:41.000Z (2 months ago)
- Last Synced: 2025-03-02T19:25:16.733Z (2 months ago)
- Topics: cnn, cnn-model, cv2, deep-learning, keras, keras-tensorflow, penumonia, pneumonia-classification, smote, streamlit, tensorflow, xray, xray-images
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md