Francesco TORTORELLA | MEDICAL IMAGING
Francesco TORTORELLA MEDICAL IMAGING
cod. 0622900012
MEDICAL IMAGING
| 0622900012 | |
| DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE ED ELETTRICA E MATEMATICA APPLICATA | |
| EQF7 | |
| DIGITAL HEALTH AND BIOINFORMATIC ENGINEERING | |
| 2019/2020 |
| YEAR OF COURSE 2 | |
| YEAR OF DIDACTIC SYSTEM 2018 | |
| PRIMO SEMESTRE |
| SSD | CFU | HOURS | ACTIVITY | ||
|---|---|---|---|---|---|
| IMAGE ANALYSIS | |||||
| ING-INF/05 | 3 | 24 | LESSONS | ||
| ING-INF/05 | 2 | 16 | LAB | ||
| ING-INF/05 | 1 | 8 | EXERCISES | ||
| MEDICAL IMAGING APPLICATIONS | |||||
| ING-INF/05 | 2 | 16 | LESSONS | ||
| ING-INF/05 | 1 | 8 | LAB | ||
| Objectives | |
|---|---|
| EXPECTED LEARNING OUTCOMES AND SKILLS TO BE ACQUIRED THE GOAL OF THE COURSE IS TO PROVIDE THE STUDENT WITH THE FUNDAMENTAL ELEMENTS RELATED TO MEDICAL IMAGE PROCESSING, ESPECIALLY AIMED AT IMPROVING THE IMAGE QUALITY FOR DIAGNOSIS AND THEIR AUTOMATIC INTERPRETATION FOR COMPUTER-AIDED DIAGNOSIS. KNOWLEDGE AND UNDERSTANDING AT THE END OF THE COURSE THE STUDENT WILL BE ABLE TO DISTINGUISH THE DIFFERENT TYPES OF MEDICAL IMAGES AND IDENTIFY THE APPROPRIATE PROCESSING TECHNIQUES IN ORDER TO IMPLEMENT, EVEN IN AN INNOVATIVE WAY, SOLUTIONS TO SPECIFIC APPLICATION PROBLEMS. APPLIED KNOWLEDGE AND UNDERSTANDING FOR A GIVEN PROBLEM, THE STUDENT WILL BE ABLE TO DEFINE THE REQUIREMENTS AND TO DESIGN SUITABLE TECHNICAL SOLUTIONS. SHE/HE WILL BE ABLE TO DEVELOP AND TEST NEW SOLUTIONS FOR SPECIFIC APPLICATION PROBLEMS ON MEDICAL IMAGES USING DEDICATED FRAMEWORKS AND LIBRARIES. MAKING JUDGEMENTS THE STUDENT WILL BE ABLE TO INDEPENDENTLY DEAL WITH COMPLEX PROBLEMS, ANALYZING THE REQUIREMENTS, IDENTIFYING THE APPROPRIATE SOLUTION TOOLS, ASSESSING THE FEASIBILITY OF PROPOSED SOLUTIONS AND ESTIMATING THE RESOURCES REQUIRED. COMMUNICATION SKILL THE STUDENT WILL BE ABLE TO DESCRIBE IN A WRITTEN AND ORAL WAY (EVEN USING APPROPRIATE PRESENTATION TOOLS) PROBLEMS AND PROJECTS RELATED TO APPLICATIONS FOCUSED ON MEDICAL IMAGES LEARNING SKILLS STUDENTS WILL BE ABLE TO APPLY THE ACQUIRED KNOWLEDGE TO CONTESTS DIFFERENT FROM THE ONES EXPLORED IN THIS COURSE. MOREOVER, THEY WILL BE ABLE TO DEEPEN THE TOPICS LEARNED BY USING NEW TEXTBOOKS AND/OR ACCESSING SUITABLE INFORMATION RESOURCES. |
| Prerequisites | |
|---|---|
| THE KNOWLEDGE OF A PROGRAMMING LANGUAGE SUCH AS C OR PYTHON IS BENEFICIAL |
| Contents | |
|---|---|
| DIGITAL MEDICAL IMAGES: ACQUISITION AND STANDARD FORMATS (THEORY HOURS: 6; EXERCISE HOURS: 2) POINT AND LOCAL OPERATIONS. BRIGHTNESS AND CONTRAST TRANSFORMATIONS. AUTOMATIC IMAGE EQUALIZATION. GAMMA CORRECTION. (THEORY HOURS: 6; EXERCISE HOURS: 4) TWO-DIMENSIONAL FILTERS. LOW PASS AND HIGH PASS FILTERS. DIGITAL GRADIENTS. MEDIAN FILTER. SPECIAL TECHNIQUES FOR NOISE REMOVAL. (THEORY HOURS: 8; EXERCISE HOURS: 4) MORPHOLOGICAL SEGMENTATION TECHNIQUES. (THEORY HOURS: 8; EXERCISE HOURS: 4) CLUSTERING AND CLASSIFICATION TECHNIQUES (K-MEANS, MEAN SHIFT). (THEORY HOURS: 4; EXERCISE HOURS: 2) IMAGE REGISTRATION TECHNIQUES. (THEORY HOURS: 4; EXERCISE HOURS: 2) DEEP LEARNING TECHNIQUES FOR SEGMENTATION AND CLASSIFICATION OF MEDICAL IMAGES. (THEORY HOURS: 10; EXERCISE HOURS: 8) |
| Teaching Methods | |
|---|---|
| TEACHING ACTIVITIES INCLUDE THEORETICAL LESSONS, EXERCISES AND LABS. STUDENTS WILL BE ASSIGNED BOTH INDIVIDUAL AND GROUP PROJECTS, IN WHICH THEY WILL USE METHODOLOGIES AND DEVELOPMENT TOOLS PRESENTED IN THE COURSE. LABS ARE AIMED AT IMPLEMENTING THE PROPOSED PROJECTS. IN ORDER TO BE ABLE TO SUPPORT THE FINAL PROFIT VERIFICATION AND ACHIEVE THE CFU RELATED TO THE TRAINING ACTIVITY, THE STUDENT MUST HAVE ATTENDED AT LEAST 70% OF THE HOURS PROVIDED FOR ASSISTED EDUCATIONAL ACTIVITIES. |
| Verification of learning | |
|---|---|
| THE EXAM IS AIMED AT EVALUATING IF THE STUDENT HAS ACQUIRED THE TOPICS PRESENTED IN THE COURSE AND IF SHE/HE IS ABLE TO APPLY THE ACQUIRED KNOWLEDGE TO THE RESOLUTION OF REAL PROBLEMS. THE EXAM IS DIVIDED IN TWO PHASES: THE FIRST ONE INCLUDES AN ORAL EXAM ON THE MAIN TOPICS OF THE COURSE AND THE DISCUSSION OF THE MID TERM PROJECTS PERFORMED INDIVIDUALLY DURING THE COURSE. A SECOND STAGE REQUIRES THE REALIZATION OF A FINAL TERM PROJECT: THE DESIGN AND METHODOLOGICAL CHOICES MADE ARE CONSIDERED FOR THE ASSESSMENT MAXIMUM MARKS FOR THE FINAL SCORE ARE 30. THE EVALUATIONS OF THE TWO TESTS ARE EQUALLY WEIGHTED. |
| Texts | |
|---|---|
| R.C. GONZALEZ, R.E. WOODS, DIGITAL IMAGE PROCESSING, 4TH ED., PEARSON COLLEGE DIV., 2017 SUPPLEMENTARY TEXTS: A. WEBB, INTRODUCTION TO BIOMEDICAL IMAGING, IEEE PRESS, 2004 |
| More Information | |
|---|---|
| THE COURSE IS HELD IN ENGLISH |
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