Module Number ML-4506 |
Module Title Machine Learning for Medical Image Analysis |
Lecture Type(s) Seminar |
---|---|---|
ECTS | 3 | |
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
Duration | 1 Semester | |
Frequency | In the winter semester | |
Language of instruction | English | |
Type of Exam | Oral presentation and graded participation in paper discussion |
|
Content | The seminar starts with an introductory lecture to provide a compact overview of the research field (machine learning for medical image analysis), as well as a tutorial on critical analysis and presentation of research papers. |
|
Objectives | The learning objectives of this seminar consist of three parts: (1) the students will gain a solid understanding of key contributions to the field of machine learning for medical image analysis, (2) the students learn to critically read and analyse original research papers and judge their impact, and (3) the students will improve their scientific communication skills with an oral presentation and participation in discussions sessions. |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Baumgartner, Koch | |
Literature | Will be provided in the course |
|
Last offered | Wintersemester 2022 | |
Planned for | Wintersemester 2023 | |
Assigned Study Areas | INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-SEM, ML-CS, ML-DIV |