| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| ADVANCED MEDICAL IMAGE ANALYSIS |
| Methodologies |
| IDENTIFYING DATA | 2023_24 |
| Subject | ADVANCED MEDICAL IMAGE ANALYSIS | Code | 17705114 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | Second | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Description | |
| Introductory activities | Discuss the main aims of the module, the different blocks, evaluation and planning. |
| Lecture | Lectures that will introduce the theory but also hands-on practice (notebooks) into the concepts of pre-processing, image registration and image segmentation. |
| Virtual laboratories | Labs will allow the students to put in practice the concepts learnt in the lectures. There will be 4 different labs of 2 sessions each in each topic. |
| Projects | A final project will be proposed during the last month of the module. They will be based on different medical imaging applications. The project will be in groups of 2-3 students. |
| Personal attention | Individual or group meetings to clarify concepts of the module. |
