Applied AI
Chest X-Ray CNN
MIT
What it is
Educational TensorFlow/Keras CNN for chest X-ray NORMAL vs PNEUMONIA classification with model card, reproducibility protocol, evaluation and CI validation.
An educational deep-learning project for binary chest X-ray image classification: NORMAL vs PNEUMONIA. The repository demonstrates an end-to-end applied ML workflow including dataset preparation, CNN training, evaluation, metric visualization and confusion-matrix analysis.
Engineering characteristics
- Continuous integration
- Documentation set
- Open licence
- Security policy
Security
The repository publishes a security policy describing how to report vulnerabilities.
Deployment
The repository defines its own build and deployment automation.
Documentation
The repository ships a dedicated documentation set beyond the README.
Topics
classificationcnncomputer-visiondeep-learninggithub-actionsjupyter-notebookkerasmachine-learningmedical-imagingmodel-cardopen-sourcepythonreproducibilityresponsible-aitensorflowx-ray
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