Abstract
Although image processing becomes increasingly important in most applications such as medicine, image processing and visualization is usually not a part of the medical education and therefore not widely spread in clinical daily routine. Contrary to students from computer science, medical students are usually not familiar to computational models or algorithms and require a different view of the algorithms instead of knowing each computational detail. To solve this problem this paper presents the concept of a lecture that aims to impart image processing and visualization principals for students in medicine in order to pioneer a higher acceptance and propagation of image processing techniques in clinical daily routine.
Original language | American English |
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Journal | Default journal |
State | Published - Oct 1 2017 |
Keywords
- Dialogic Learning
- Teaching of Image Processing and Visualization
Disciplines
- Computer Sciences
- Engineering