Machine learning in medical imaging and biology

URL study guide

Omschrijving

• Applied math for machine learning
• Machine learning fundamentals
• Performance evaluation of machine learning models
• Supervised machine learning models (methods for regression and classification)
• Unsupervised machine learning models
• Deep learning models
• Optimization and regularization of machine learning models
• Applications of machine learning in medical imaging (segmentation, detection, computer-aided diagnosis etc.)
• Applications of machine learning in computational biology (data-driven patient stratification and biomarker discovery, analysis of gene expression data, predicting phenotype etc.)
• Training (deep) machine learning models in Python

Doelstellingen

• Recognize how machine learning methods can be used to solve problems in medical imaging and computational biology.
• Comprehend the basic principles of machine learning.
• Implement and use machine learning methods.
• Design experimental setups for training and evaluation of machine learning models.
• Analyze and critically evaluate the results of experiments with machine learning models.

Beoordelingsmethode