Computer-Aided Diagnosis and Therapy - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
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module properties Computer-Aided Diagnosis and Therapy
in degree program Master Research in Computer and Systems Engineering 2016
ATTENTION: not offered anymore |
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| module number | 201174 |
| examination number | 220497 |
| department | Department of Computer Science and Automation |
| ID of group | 2257 (Medizinische Informatik) |
| module leader | Prof. Dr. Sylvia Saalfeld |
| term | summer term only |
| language | Englisch |
| credit points | 5 |
| on-campus program (h) | 45 |
| self-study (h) | 105 |
| obligation | elective module |
| exam | examination performance with multiple performances |
| details of the certificate | Das Modul Computer-Aided Diagnosis and Therapy mit der Prüfungsnummer 220497 schließt mit folgenden Leistungen ab:
Details zum Abschluss Teilleistung 2: short presentation on a topic |
| link to Moodle course | https://moodle2.tu-ilmenau.de/course/view.php?id=4817 |
| teacher | Prof. Sylvia Saalfeld |
| signup details for alternative examinations | Dieses Modul enthält mindestens eine alternative semesterbegleitende Abschlussleistung. Bitte beachten Sie, dass diese in der Regel schon zu Beginn des Semesters, in dem diese angeboten wird, angemeldet werden muss. This module contains at least one alternative exam part. Please note that this must usually be registered at the beginning of the semester in which it is offered. |
| maximum number of participants | |
| previous knowledge and experience | Image processing |
| learning outcome | Students will be able to understand and apply basic processing algorithms for computer-aided diagnosis and therapy. The students are able to evaluate methods of computer support with regard to the reliability of results, the plausibility check by the user, the comprehensibility and the interpretability of computer-supported applications by medical experts. The students are able to present a scientific application area in a lecture to the group. They are able to evaluate presentations on the basis of evaluation criteria. |
| content | The course "Computer-Aided Diagnosis and Therapy" focuses on diseases, their detection and treatment. These medical aspects will be discussed using a number of relevant examples, including heart disease, lung disease, and tumor disease. Requirements for computer assistance are derived and examples of such systems are presented. Computer support is often used to automatically detect suspicious regions or to better inform therapeutic decisions. The focus is not on algorithmic details, but on the evaluation of computer support from a clinical point of view. This includes questions of reliability of results, plausibility checks by users, comprehensibility and interpretability of computer-aided visualizations by medical experts. Integration into clinical processes also plays an important role. In this course, the corresponding exercise will take place in the form of a seminar, in which individual topics of the lecture will be deepened and further interesting research work will be presented and discussed. |
| media of instruction and technical requirements for education and examination in case of online participation | Presentations, Handout, Moodle |
| literature / references | A list of references with scientific papers will be provided at the end of each lecture |
| evaluation of teaching | |