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Type A
|
Code |
Competences Specific | | | CE7 |
Capacity to use and generate algorithms for processing biomedical signals and medical images to assist diagnosis.
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Type B
|
Code |
Competences Transversal | | | CT3 |
Solve problems critically, creatively and innovatively in their field. |
| | CT4 |
Work autonomously and as part of a team with responsibility and initiative. |
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Type C
|
Code |
Competences Nuclear |
|
Type A
|
Code |
Learning outcomes |
| | CE7 |
Understand the stages involved in a computer vision system
Understand the different forms of medical imaging
Be able to apply the basic methods of processing images to solve specific problems
Understand and use techniques for preprocessing, segmenting, classifying and recording images
Understand the techniques of molecular histology based on mass spectrometry
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Type B
|
Code |
Learning outcomes |
| | CT3 |
Identify the situation as a problem in the field and be sufficiently motivated to face up to it
Follow a systematic method to divide a problem into parts, identify the causes and apply the knowledge specific to the discipline
Design a new solution by using all the resources necessary to cope with the problem.
Include the details of the proposed solution in a realistic model
Reflect on the model proposed, find shortcomings and suggest improvements
| | | CT4 |
Identify the role they play in the group and understand the group’s objectives and tasks
Communicate and act within the group in such a way that they facilitate cohesion and performance
Commit to the group’s tasks and agenda
Participate in the group in a good working environment and help to solve problems
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Type C
|
Code |
Learning outcomes |
| Topic |
Sub-topic |
| Introduction to digital image |
• Digital image
• Image processing justificacion
• Aplicacion
|
| Image geometry |
• Spatial resolution
• Image reconstruction
• Image quality |
| Digital image processing |
• Pre-processing
• Morphological operations
• Transformations
• Composition |
| Segmentation, classification and registration of images |
• Pattern recognition
• Image segmentation
• Classifiers
• Co-register
• Image fusion |
| Biomedical imaging modalities |
• Optical and molecular images
• Radiological images
|
| Methodologies :: Tests |
| |
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
| Introductory activities |
|
1 |
0 |
1 |
| Lecture |
|
9 |
14 |
23 |
| Practical cases/ case studies in the classroom |
|
8 |
12 |
20 |
| Problem solving, exercises |
|
5 |
11.5 |
16.5 |
| Presentations / oral communications |
|
4 |
0 |
4 |
| Laboratory practicals |
|
15 |
30 |
45 |
| Personal attention |
|
1 |
0 |
1 |
| |
| Mixed tests |
|
2 |
0 |
2 |
| |
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
| |
Description |
| Introductory activities |
Activitat descriptiva de l'assignatura, de l'organització del curs i explicació del sistema d'avaluació. |
| Lecture |
Explicació a l'aula dels continguts teòrics de l'assignatura. |
| Practical cases/ case studies in the classroom |
Es realitzaran una seria de sessions organitzades com a seminaris on es demostraran diverses aplicacions reals del processament d'imatge biomèdica. |
| Problem solving, exercises |
Es proporcionaran exercicis i s'explicarà com resoldre'ls a classe. |
| Presentations / oral communications |
Els alumnes presentaran el seu treball a la resta de la classe. |
| Laboratory practicals |
S'abordarà el processament d'imatges biomèdiques mitjançant el programa Matlab amb el "Image Processing Toolbox". |
| Personal attention |
Realització de consultes amb els professors de l'assignatura |
|
Description |
|
Teachers will be available during their consultation hours for personalized attention to students. |
|
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
| Presentations / oral communications |
|
The student will elaborate a work related to the biomedical image and will present it in class. |
35% |
| Laboratory practicals |
|
The student will perform a series of biomedical image processing practices in matlab. |
35% |
| Mixed tests |
|
The mixed tests will be used to evaluate the master sessions and case studies. |
30% |
| Others |
|
|
|
| |
|
Other comments and second exam session |
|
To pass the course, a minimum grade of 4 must have been taken in each of the items assessed. |
| Basic |
Bankman, I. N., Handbook of Medical Imaging: Processing and Analysis, Academic Press: San Diego, CA, 2000, 2000
Ja?hne Bernd; Haussecker, H., Computer Vision and Applications: A Guide for Students and Practitioners, Academic Press: San Diego, CA, 2000., 2000
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| Complementary |
Arnulf Oppelt, Imaging Systems for Medical Diagnostics, 2005,
Jerry L. Prince & Jonathan M. Links, Medical Imaging Signals and Systems., 2006,
|
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| Subjects that it is recommended to have taken before |
| DATA ANALYSIS AND BIOSTATISTICS/17254105 | | DIGITAL TREATMENT OF BIOSIGNALS/17254113 |
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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. |
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