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Vorlesungsverzeichnis >> Technische Fakultät (TF) >>
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Seminar Advanced Algorithms in Medical Image Processing (SemAAMIP)- Dozentinnen/Dozenten
- Prof. Dr.-Ing. habil. Andreas Maier, Dr. rer. biol. hum. Ludwig Ritschl, Prof. Dr.-Ing. Joachim Hornegger
- Angaben
- Seminar
2 SWS, ECTS-Studium, ECTS-Credits: 5
nur Fachstudium, Sprache Englisch
Zeit und Ort: Mo 8:15 - 9:45, KH 1.021
ab 6.5.2019
- Studienfächer / Studienrichtungen
- WPF INF-MA ab 1
WPF MT-MA-BDV ab 1
WPF CE-MA-TA-MT ab 1
- Voraussetzungen / Organisatorisches
- Registration via StudOn:
https://www.studon.fau.de/crs2529241.html
- Inhalt
- 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). A major shortcoming is typically the number of labels that is required to train machine learning algorithms. Therefore, this project seminar will look into how to tackle this problem looking into topics of crowd-sourcing and gamification. To arrive at good solutions also mobile game development will be a topic of interest. Aim of the seminar is to develop a prototype level for such a gamification-based crowd sourcing approach.
- ECTS-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Schlagwörter: algorithms; medical image processing
Erwartete Teilnehmerzahl: 10, Maximale Teilnehmerzahl: 10
www: https://www5.cs.fau.de/lectures/ss-19/seminar-advanced-algorithms-in-medical-image-processing-semaamip/
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt über: StudOn
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2019:
- Seminar Advanced Algorithms in Medical Image Processing (SemAAMIP)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
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