Code: | EBE0149 | Acronym: | DACO |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Biomedical Engineering |
Active? | Yes |
Web Page: | http://moodle.fe.up.pt |
Responsible unit: | Department of Electrical and Computer Engineering |
Course/CS Responsible: | Master in Bioengineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MEB | 2 | Syllabus | 1 | - | 6 | 56 | 162 |
MIB | 34 | Syllabus | 4 | - | 6 | 56 | 162 |
Teacher | Responsibility |
---|---|
Aurélio Joaquim de Castro Campilho |
Recitations: | 3,00 |
Laboratory Practice: | 1,00 |
Type | Teacher | Classes | Hour |
---|---|---|---|
Recitations | Totals | 1 | 3,00 |
Aurélio Joaquim de Castro Campilho | 3,00 | ||
Laboratory Practice | Totals | 2 | 2,00 |
Adrian Galdran Cabello | 2,00 |
Computer aided diagnosis can be defined as the the diagnosis made by the radiologist supported by a computer based medical image analysis that acts as a second opinion system. The course aims at giving the students the knowledge and ability to develop image enhancement, image analysis and classification systems useful in CAD environments.
To contribute to develop the capacity of the students to work autonomously and in group, to do bibliographic research, to prepare written reports and to deliver oral presentations.
Previous knowledge:
Biomedical Image Analysis, Signal Processing, Matlab
PART 1: Computer-aided Diagnosis (CAD): Overview
PART 3: Applications
Application examples in Ophthalmology, Thorax imaging and Mammography
Presentation of image analysis and classification methodologies and discussing of Computer Aided Diagnosis topics.
Groups of 4 students will present five CAD case studies .
Designation | Weight (%) |
---|---|
Exame | 50,00 |
Trabalho laboratorial | 50,00 |
Total: | 100,00 |
To reach a passing grade during the semester
The final mark (NF) has 2 components: CF - Evaluation during the semester (50%) which includes the study, analysis and 2 assigments on pattern recognition and image analysis (PR1+PR2), by groups of 2 students and a challenge (CH) by groups of 4 students.; 2.EX -Exam (50%), which is a written exam with problems about the taught material. A student to be approved, have to have a mark greater or equal to 8.0 in each of the components CF and EX, and NF has to be greater or equal to 10. The corresponding expressions are:
CF = 0.2*PR1+0.2*PR2+0.6*CH
NF=0.5*CF+0.5*EX, para EX >= 8.0
NF=EX para EX < 8.0
Case studies: Challenge (group of 4 students)
Two Assignments (2 students)
The students are submitted to the same type of evalutation and with the same rules of the other students with a normal statue
In the same academic year, the students may apply to improve the mark for the written exam only.