Course Information

Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
MACHINE LEARNING AND DEEP LEARNING FOR CRANIOFACIAL MEDICAL IMAGE PROCESSING	803400815141		3 + 0	3.0	10.0

Prerequisites

None

Language of Instruction	English
Course Level	Graduate Degree
Course Type	Elective
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals	In order to create and appropriate manufacture of these models, a complete understanding of imaging techniques is need. Thus, in this course, all imaging modalities for use of 3D printing will be evaluated.
Course Content	Biomedical devices and biomedical imaging devices are currently used in medical science; Diagnosis, diagnosis and treatment are the biggest aids. Biomedical imaging devices; R & D stage, production and after-production technical service requires extremely intensive care and attention. The slightest defect of these devices, which are in direct contact with the patient in some cases, can have irreparable results. Thanks to these devices which have to be at the highest level and keeping the tolerances at the lowest possible values, it provides high perfection and the best diagnosis to the physician. The choice or production of biomedical devices requires careful attention. Unlike other sectors, the selection of the appropriate device is very important in the medical sector. In order for the selected devices to operate with high efficiency, the selection and purchasing stage must be evaluated very well.
Learning Outcomes	1) Understand the fundamentals of imaging techniques 2) Understand the fundamentals of imaging techniques 3) " Understand the imaging modality and use the suitable imaging modality for 3D printing."