Phelma Formation 2022

5PMSBNI7 : Bio and neuro imaging methods - WPMTDBN0

  • Number of hours

    • Lectures 0
    • Projects 0
    • Tutorials 0
    • Internship 0
    • Laboratory works 20.0
    • Written tests 0

    ECTS

    ECTS 2.0

Goal(s)

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 Bertrand RIVET, Ronald PHLYPO

Content(s)

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.



Prerequisites

Signal processing, Random signal processing, Image processing, Probability and statistics, Programming skills in a scripting language (e.g., Matlab, Python or R)

Test

Reports on lab sessions

Session 1 : mark = 100% reports on lab sessions
Session 2 : new project to do and analysis of research article, mark = 100% on the new work



Rapports de BE

Session 1 : note = 100% contrôle continu
Session 2 : nouveau BE à travailler et article à analyser, note = 50% comptes rendus (session 1) + 50% rapport d'analyse

Additional Information

Course list
Curriculum->Master->Semester 9
Curriculum->Double-Diploma Engineer/Master->Semester 9

Bibliography

voir site web / see web site