CNG1530 MEDICAL IMAGE ANALYSIS
| Course Code: | 3551530 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Masters |
| Course Coordinator: | |
| Offered Semester: | Fall or Spring Semesters. |
Course Objectives
The course introduces the basic knowledge of the general and medical image analysis/processing concepts such as image enhancement, automatic and semi-automatic image segmentation, shape and texture quantification, feature extraction and image alignment (registration) hands-on practice with the analytic manipulation of convolution and Fourier transform formulas experience to implement all the methods studied using MATLAB scientific software.
Course Content
The aim of the course is to acquaint the graduate students with the fundamental theory and techniques of medical image analysis, like image enhancement, automatic and semi-automatic segmentation, quantification (shape and texture analysis, feature extraction), computer-aided diagnosis, registration and fusion.
Course Learning Outcomes
Having successfully completed this course, the student will be able to:
- Understand basic principles and applications of different types of medical image modalities.
- Apply fundamental image processing techniques for medical image analysis.
- Understand advanced image analysis methods including segmentation, registration, quantification (feature analysis and extraction), and computer-aided diagnosis.
- Develop specialized skills and a critical understanding of advanced principles of medical image analysis and processing using the MATLAB platform.