| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| ADVANCED MEDICAL IMAGE ANALYSIS |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | ADVANCED MEDICAL IMAGE ANALYSIS | Code | 17705114 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | Second | 2Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering Computer Engineering and Mathematics |
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| Coordinator |
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robert.marti@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
This subject focuses on the development of algorithms and methods for medical image analysis for diagnosis. A review will be made of traditional methods and the most current proposals based on deep learning in terms of data pre-processing algorithms, image registration and matching, and segmentation and detection of regions of interest. Current challenges will be discussed and a final project will be proposed to put into practice all the knowledge acquired. This course is coordinated by Universitat de Girona. |
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
