Machine Learning

Question 1

Why machine learning?

Answer 1

• computer aided diagnosis
• disease prognosis
• risk assessment

Question 2

fundamental concepts

Answer 2

• unsupervised learning (clustering)
• supervised learning (classification, regression)
• reinforcement learning (rewards and punishments)
• semi-supervised learning (few labeled examples, many unlabeled)

Question 3

unsupervised learning

Answer 3

• find patterns

- clustering

Question 4

supervised learning

Answer 4

• classification (predict discrete responses)

- regression (predict continuous responses)

Question 5

CAD pipeline

Answer 5

• image aquisition
• preprocessing
• feature extraction
• classification