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Medical imaging analysis using AI

  • Introduction to Artificial Intelligence
  • AI Programming (Python, Jupyter Notebook, Google Colab)
  • Image preprocessing
  • Creation of neural networks
  • Definition of: Classification, Regression, Segmentation
  • Neural network training
  • Result evaluations (Metrics)
  • Regularization
  • Saving model for later use
  • Learning transfer

    Evaluation:  Test

Duration

Course total duration of 12 hours.

8:00 am to 10:00 am

Target audience

Researchers, research assistants, students of final graduation projects and supervised professional practice.

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