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Seminar Advanced Algorithms in Medical Image Processing (SemAAMIP)- Lecturers
- Prof. Dr.-Ing. habil. Andreas Maier, Dr. rer. biol. hum. Ludwig Ritschl, Prof. Dr.-Ing. Joachim Hornegger
- Details
- Seminar
4 cred.h, ECTS studies, ECTS credits: 5
nur Fachstudium, Sprache Englisch
Time and place: Mon 8:15 - 9:45, KH 1.021
starting 23.10.2017
- Fields of study
- WPF INF-MA ab 1
WPF MT-MA-BDV ab 1
WPF CE-MA-TA-MT ab 1
- Prerequisites / Organisational information
- Registration via StudOn:
https://www.studon.fau.de/studon/goto.php?target=crs_1960843
- Contents
- Deep Learning-based algorithms showed great performance in many fields of image procession and pattern recognition and compete with technologies such as compressive sensing and iterative optimization. The basis for the success of these algorithms is the availability of large amounts of data (big data) for training and of high computing power (typically GPUs). In this seminar we try to answer the question how typical problems in medical imaging might profit from deep learning concepts. The discussed fields are computer aided detection (CAD), image reconstruction, image denoising, and image registration. The seminar will give an insight into the newest results in literature. Additionally the participants will have the opportunity to implement example code and learn the usage of typical open source deep learning libraries.
- ECTS information:
- Credits: 5
- Additional information
- Keywords: algorithms; medical image processing
Expected participants: 10, Maximale Teilnehmerzahl: 10
www: https://www5.cs.fau.de/lectures/ws-1718/seminar-advanced-algorithms-in-medical-image-processing-semaamip/
Registration is required for this lecture.
Die Registration via: StudOn
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2017/2018:
- Seminar Advanced Algorithms in Medical Image Processing (SemAAMIP)
- Department: Chair of Computer Science 5 (Pattern Recognition)
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