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THIRD CYCLE - DOCTORATE DEGREE
THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES
BIOMEDICAL ENGINEERING DEPARTMENT
1627 BIOMEDICAL ENGINEERING PHD
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
BMM 676
MEDICAL IMAGE PROCESSING
3 + 0
1st Semester
7,5
COURSE DESCRIPTION
Course Level
Doctorate Degree
Course Type
Elective
Course Objective
The aim of this course is to solve basic image processing problems on radiological images such as Magnetic Resonance, Functional Magnetic Resonance, Diffusion MR, Computed Tomography, X-ray, PET, SPECT. Preprocessing, post-processing, filtering, texture analysis, segmentation and some artificial intelligence applications will be performed on images. Applications will be developed in MATLAB and Python programs.
Course Content
Basic concepts, Digital Image Fundamentals, Color transformations and spatial filtering, Filtering in the frequency domain, Image Restoration and Reconstruction, Color image processing, Wavelet Transformation, Morphological Image Processing, Image Segmentation, Object Recognition, Medical Applications-I, Medical Applications-II, Medical Applications-III Medical Applications-IV
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
To learn the fundementals of digital image processing.
2
To learn advanced image processing algorithms and methods.
3
To be able to perform medical applications with MATLAB and Python image processing library.
4
To be able to detect and segment abnormal tissues in medical images.
COURSE'S CONTRIBUTION TO PROGRAM
Data not found.
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Mid-terms
1
56
56
Final examination
1
56
56
Special Study Module (Student)
1
41
41
Total Work Load
ECTS Credit of the Course
195
7,5
COURSE DETAILS
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L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes