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Video course · 10 chapters · 70 min · certificate

TensorFlow Course – Building and Evaluating Medical AI Models

Build and evaluate a medical AI model with TensorFlow: Google Colab, chest X-ray basics, defining the problem, preparing data, training and running the model, evaluating performance with histograms, sensitivity, specificity and AUC, and saving the model.

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What you'll learn

  • Set up Google Colab
  • Understand chest X-ray features
  • Prepare medical image data
  • Train a TensorFlow image model
  • Evaluate with sensitivity, specificity and AUC
  • Save the model

Chapters

10 chapters · 69:47
  1. 1:50 01Setup Members Intro and Google Colab Saving lives with ML.
  2. 4:46 02X-rays Members Facts about chest X-rays What you see.
  3. 5:57 03Problem Members Defining a problem Frame the task.
  4. 7:12 04Data Members Preparing the data Folders and generators.
  5. 12:15 05Training Members Training the model Build the network.
  6. 5:05 06Run Members Running the model Epochs.
  7. 11:39 07Evaluation Members Evaluating performance Attention to detail.
  8. 12:16 08Stats Members Histogram, sensitivity and specificity Key metrics.
  9. 7:19 09AUC Members AUC curve All thresholds.
  10. 1:28 10Save Members Saving the model model.save.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Biomedical Engineers