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BLG 641E - Medical Image Computing

Course Objectives

1. A fundamental grounding in the theoretical and practical skills in medical image computing,
2. An understanding of the application of these skills to analyse and extract information from different types of medical images,
3. An overview of the main active research areas in medical image computing, including both a grounding in the theoretical basics and the tackling of practical research problems.

Course Description

Medical Image Analysis, Image Filtering, Image Segmentation, Medical Image Registration, Markov Random Fields, Medical Image Visualization, Deep Learning for Medical Image Computing, Atlases, Image Guided Interventions, Fetal Imaging, Cardiac Imaging, Brain Imaging

Course Coordinator
İlkay Öksüz
Course Language
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