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)

Content Notes:

Module I: Application of computer vision to medical diagnosis

Module II: Handling class imbalance and small training sets

Module II: Checking model performance