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Brain Tumor Prediction

8000
MRP : 10000
Rewards Point: 80
You Save 20%

(Inclusive of all taxes)

  • Availibility: In Stock

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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