Introduction to Medical Image Processing
Introduction to theories, methods, and applications related to medical image processing through project-based learning. Discuss the principles and approaches for image segmentation, image registration, and deep learning classification, in addition to the global reach of clinical applications based on these methods, such as radiology and radiation oncology. Biomedical Engineering 321D and 377T (Topic: Medical Image Processing) may not both be counted. Three lecture hours a week for one semester.
Prerequisites & course information
Introduction to theories, methods, and applications related to medical image processing through project-based learning. Discuss the principles and approaches for image segmentation, image registration, and deep learning classification, in addition to the global reach of clinical applications based on these methods, such as radiology and radiation oncology. Biomedical Engineering 321D and 377T (Topic: Medical Image Processing) may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027