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Artificial Intelligence (Master of Science) >>
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Medizintechnik II (MT2)- Persons in charge
- Prof. Dr. Florian Knoll, Prof. Dr. Bernhard Kainz
- Details
- Vorlesung
Online
4 cred.h, ECTS studies, ECTS credits: 3,75
für Anfänger geeignet, für FAU Scientia Gaststudierende zugelassen, Sprache Deutsch und Englisch, This course will be held online. The blackboard exercises will start in the first (!) week (29.4) and the computer exercises in the third week (9.5-13.5). Old lecture videos can be found at https://www.video.uni-erlangen.de/course/id/1022 and all further information can be found on StudOn https://www.studon.fau.de/crs4223415.html
- Fields of study
- PF MT-BA 2
- Contents
- VORL; 4 SWS; guest listeners; Prof. Dr. Florian Knoll , Prof. Dr. Bernhard Kainz
The lecture MT2 is aimed at students of medical technology and is one of the basic lectures in the field of informatics. Methods and devices that process and display the anatomy and function of the body for diagnosis and therapy are explained. Emphasis is placed on understanding and applying basic algorithms of medical imaging, such as segmentation, filtering, and image reconstruction. Modalities presented include X-ray systems, computed tomography (CT), magnetic resonance imaging (MRI), optical coherence tomography (OCT), and ultrasound (US).
StudOn: https://www.studon.fau.de/crs4223415.html
- Recommended literature
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- ECTS information:
- Credits: 3,75
- Additional information
- Expected participants: 106, Maximale Teilnehmerzahl: 160
www: https://www.studon.fau.de/crs4223415.html
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2022:
- Medizintechnik II (Bildgebende Verfahren) (MT2)
- Department: W3-Professur für Image Data Exploration and Analysis
Courses
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