Brain Tumor Prediction
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Creating a brain tumor prediction software involves:
- Understanding the Problem: Medical imaging and tumor classification.
- Data Handling: Preprocessing images, handling labels, and augmenting data.
- Choosing Models: Implementing and training appropriate machine learning models.
- Evaluation and Deployment: Testing the model and deploying it effectively.
- Ethical Considerations: Addressing privacy, bias, and clinical validation.
Each step requires careful consideration to build a reliable and ethically sound prediction system.
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