Course Details

 

Course Details Language of Instruction English Level of Course Unit Bachelor's Degree Department / Program BIOENGINEERING Type of Program Formal Education Type of Course Unit Elective Course Delivery Method Face To Face Objectives of the Course - Comprehending fundamental knowledge for biomedical image processing - Comprehending the purpose and processing of biomedical images - Understanding how images are formed and processed - Learning biomedical image processing steps, (preprocessing (histogram, quantization), filters, edge detection, feature extraction, usage area of machine learning, ANN) and usage areas Course Content In this course, all basic biomedical image processing. All basic steps of image processing will be explained. In this course, Python applications will also be applied. Obtaining images, pre-processing parts, segmentation, extraction, and interpretation will be explained with detailed step by step. Course Methods and Techniques Learners will be provided with as much opportunities of hands-on practice as possible, with the aim of striking a balance between learner-centeredness and sufficient guidance. Various forms of interaction (i.e. pair work and group work) will also be encouraged to cater for learners with different learning styles. Additionally, individuals will be expected to produce both in-class writings and homework assignments in addition to the reading tasks, which will encourage them to reflect and think critically. Technology will also be incorporated into the classroom procedures in order to create a better learning environment. Prerequisites and co-requisities None Course Coordinator None Name of Lecturers Research Assist.Dr. Refika Sultan DOĞAN https://avesis.agu.edu.tr/refikasultan.dogan refikasultan.dogan@agu.edu.tr Assistants None Work Placement(s) No Recommended or Required Reading Resources Digital Image Processing Third Edition Rafael C. Gonzalez University of Tennessee Richard E. Woods MedData Interactive Biyomedikal Görüntü İşleme Thomas Martin Deserno (Editör) Course Notes By the end of the course, the student will be able to LO1- Define biomedical image processing methods LO2- Describe application areas of biomedical image processing systems LO3- Learning how biomedical image processing is applied LO4- Evaluate the recent developments in biomedical image processing Documents https://dl.ebooksworld.ir/motoman/Digital.Image.Processing.3rd.Edition.www.EBooksWorld.ir.pdf Course Category Mathematics and Basic Sciences %30 Engineering %20 Engineering Design %10 Social Sciences %0 Education %5 Science %10 Health %20 Field %70

 
 
 
 
  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72056&lang=en