Bio and neuro imaging methods (SICOM-SIGMA S9) - 5PMSBNI7
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Number of hours
- Lectures : 0
- Tutorials : 0
- Laboratory works : 20.0
- Projects : 0
- Internship : 0
- Written tests : 0
ECTS : 2.0
Goals
At the issue of this class, you should be able to
- understand the particularities of (bio)medical signals and images and their processing, and
- conduct a signal/image processing chain from raw data to its (automatic) interpretation.
Contact Ronald PHLYPO,
Bertrand RIVET
Content Automatic processing of biological/medical information is gaining importance in life science and a main challenge for companies working in the field.
In this course, after a general presentation of biomedical signal and image particularities and acquisition systems, three applications are studied in more detail during practical lab sessions.
PrerequisitesSignal processing, Random signal processing, Image processing, Probability and statistics, Programming skills in a scripting language (e.g., Matlab, Python or R)
Tests Semester 9 - The exam is given in english only 
Reports on lab sessions
Session 1 : mark = 100% reports on lab sessions
Session 2 : analysis report of research article, mark = 50% lab reports + 50% of analysis report
Rapports de BE
Session 1 : note = 100% comptes rendus
Session 2 : article à analyser, note = 50% comptes rendus + 50% rapport d'analyse
Additional Information Semester 9 - This course is given in english only 
Curriculum->Double-Diploma Engineer/Master->Semester 9
Curriculum->Engineering degree->Semester 9
Bibliography voir site web / see web site
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Date of update March 18, 2019