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| ELKL7362 | Biomedical Image Analysis | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The aim of this course is to analyse medical images |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | describe nature of biomedical images. | 1,4,6,8,11,12,13,15 | 1 | | PO - 2 : | describe factors on quality of medical images. | 1,2,4,6,7,11,12,15 | 1 | | PO - 3 : | perform enhancement operations in medical images. | 1,2,4,5,7,11,12,13,15 | 1 | | PO - 4 : | detect region of Interests. | 1,4,11 | 1 | | PO - 5 : | perform pattern analysis. | 1,2,4,6,7,8,11,12,14 | 1 | | PO - 6 : | desribe reconstruction process from projections images. | 1,3,4,5,7,11,12,13,14,15 | 1 | | PO - 7 : | perform pattern classification and diagnostic decision. | 1,3,4,5,7,10,11,14,15 | 1 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Nature of biomedical images, Image quality, Removel of artifacts; Image enhancement; Detection of region of interest; Analysis of oriented patterns, Analysis of shape; Analysis of texture; Image Reconstruction from projections, Deconvolution, deblurring and restoration; Image coding and data compression, Pattern classification and diagnostic decision. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Nature of biomedical images | | | Week 2 | Image quality | | | Week 3 | Removel of artifacts | | | Week 4 | Image enhancement | | | Week 5 | Detection of region of interest
| | | Week 6 | Analysis of shape
| | | Week 7 | Image Reconstruction from projections
| | | Week 8 | Deconvolution | | | Week 9 | Midterm exam | | | Week 10 | Deblurring | | | Week 11 | Restoration | | | Week 12 | Image coding | | | Week 13 | Data compression
| | | Week 14 | Pattern classification and diagnostic decision | | | Week 15 | Project presentation | | | Week 16 | Final exam | | | |
| 1 | Rangarray, R. M., 2005; Biomedical Image Analysis, CRC Press, USA | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2,00 | 30 | | Project | 15 | | 1,00 | 20 | | End-of-term exam | 16 | | 2,00 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 13 | 39 | | Arasınav için hazırlık | 17 | 1 | 17 | | Arasınav | 2 | 1 | 2 | | Proje | 2 | 13 | 26 | | Dönem sonu sınavı için hazırlık | 20 | 1 | 20 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 106 |
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