Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| 1st Semester | Oct 1, 2009 | Jan 31, 2010 |
| 2nd Semester | Mar 1, 2010 | Jun 15, 2010 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 1, 2010 | Feb 28, 2010 |
| Sessione estiva | Jun 16, 2010 | Jul 31, 2010 |
| Sessione autunnale | Sep 1, 2010 | Sep 30, 2010 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Sep 29, 2009 | Sep 29, 2009 |
| Sessione straordinaria | Dec 10, 2009 | Dec 10, 2009 |
| Sessione invernale | Mar 17, 2010 | Mar 17, 2010 |
| Sessione estiva | Jul 20, 2010 | Jul 20, 2010 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2009 | Nov 1, 2009 |
| Festa dell'Immacolata Concezione | Dec 8, 2009 | Dec 8, 2009 |
| Vacanze Natalizie | Dec 21, 2009 | Jan 6, 2010 |
| Vacanze Pasquali | Apr 2, 2010 | Apr 6, 2010 |
| Festa della Liberazione | Apr 25, 2010 | Apr 25, 2010 |
| Festa del Lavoro | May 1, 2010 | May 1, 2010 |
| Festa del Santo Patrono di Verona S. Zeno | May 21, 2010 | May 21, 2010 |
| Festa della Repubblica | Jun 2, 2010 | Jun 2, 2010 |
| Vacanze Estive | Aug 9, 2010 | Aug 15, 2010 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Medical image analysis (2009/2010)
Teaching code
4S02907
Teacher
Coordinatore
Credits
6
Also offered in courses
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language
Italian
Period
1st Semester dal Oct 1, 2009 al Jan 31, 2010.
Learning outcomes
The aim of this course is to introduce some image processing and visualization techniques not studied in the other courses and mainly applied to the medical field.
In detail, modalities to acquire digital diagnostic images will be analyzed as well as protocol to store and transmit the data.
Algorithms to process 2D and 3D images will be then described and practical applications will be performed using Matlab.
Program
1. Diagnostic imaging.
Goal: a review of image processing and an overview on images in hospitals.
-Digital images and related processing.
-Diagnostic imaging modalities: CT, MRI, US, PET, ecc.
-DICOM: image communication and archive in medicine
2. Visualization in radiology
-Overview of medical image applications: Computer Aided Diagnosis, surgical planning, simulation
- Volume data visualization, Surface and Volume rendering techniques
3. 3D data segmentation and visualization.
Goal: Describing the most used 3D-4D recosntruction and visualization used in the medical practice
-Thresholding, region growing, mathematical morphology
-Methods based on clustering in color space, Graph cuts, Watershed, MRFs
-"Snakes" and other 2D/3D deformable models
- Model based approaches
4. Image registration.
Goal: Introducing methods and applications of 2D/3D image registration
- Image based registration: rigid/nonrigid transforms, difference measures, interpolation methods, optimization approaches
- Point based registration: ICP, robust methods, related problems
5. Motion analysis
Goal: Introducing the computer vision techniques used to recover motion from image sequences.
- Motion field and optical flow
- Optical flow algorithms: block matching, Lucas-Kanade
6. Shape analysis
- Region/volume processing, feature extraction, distance functions, curve skeletons
7. Texture analysis
Goal: Introducing texture analysis and methods to extract features and characterize tissues appearance in diagnostic images
-Texture analysis basics
-Texture features: Gray Level Co-Occurrence Matrices. Run Length Matrices, Wavelets
-Supervised classification
Examination Methods
Written exam (20/30) and evaluation of a small project (10/30)
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
Graduation
List of theses and work experience proposals
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
Gestione carriere
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.