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AI for Medicine Specialization

Course I: AI for medical diagnosis

Scope:

  • Learning to build machine learning/Deep learning models for diagnosis
  • Build an algorithm to look at chest X-ray and determine if it's a disease
  • Another algorithm: Look at brain MRI's and identify tumors
  • WEEK 1: build a deep learning model that can interpret chest X-rays to classify different disease causes
  • WEEK 2: Evaluation strategies to assess quality of your model
  • WEEK 3: Image segmentation to identify location and boundaries of tumors

Next steps

  1. Build a pre-processor utility for image visualization and exploration (done)
  2. Make an environment for tensorflow/keras usable for deep learning applications (done)

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