Ability to use techniques for processing massive amounts of medical data and images. Ability to implement medical imaging and data processing methods. In particular, students will not only study the techniques, but they will also implement them in the laboratory, solving practical problems.

1.- Digital images 2.- Fundamentals of bioimages 3.- Basic image processing techniques 3.1. Pixel-wise transformations 3.2. Filtering 3.3. Fourier transform 3.4. Interpolation 3.5. Edge detection 3.6. Restoration 4.- Segmentation 5.- Morphological processing 6.- Feature extraction for image classification 7.- Visualization 8.- Wavelets and multiresolution 9.- Keypoint detectors and descriptors 10.- Registration 11.- Advanced segmentation

AF3 Theoretical practical classes AF4 Laboratory practices AF5 Tutorials AF6 Team work AF7 Student individual work AF8 Partial and final exams Activity code total hours number presencial hours number % Student Presence AF3 134 134 100% AF4 42 42 100% AF5 24 0 0% AF6 120 0 0% AF7 248 0 0% AF8 16 16 100% SUBJECT TOTAL 600 184 30,66%