Computer-Aided Diagnostics
Keywords |
Classification |
Keyword |
OFICIAL |
Biomedical Engineering |
Instance: 2010/2011 - 2S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
MEB |
12 |
Syllabus |
1 |
- |
5 |
42 |
135 |
MIB |
8 |
Syllabus |
4 |
- |
5 |
42 |
135 |
PRODEB |
0 |
Syllabus |
1 |
- |
5 |
42 |
135 |
Teaching language
Portuguese
Objectives
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.
Program
PART 1: Computer-aided Diagnosis: Overview
1. Introduction
2. CAD System typical organization
3. CAD Applications
4. Developments in CAD systems
PART 2: Methodologies
1. Image Enhancement in CAD Systems
2. Image Segmentation in CAD Systems
3. Feature Selection and Extraction
4. Classification and Clustering
5. Evaluation and interpretation
PART 3: Applications
1. Breast Cancer
2. Lung Cancer
3. Colon Cancer
4. Ophtalmic Diseases
5. Other applications
Mandatory literature
Rangaraj M. Rangayyan;
Biomedical image analysis. ISBN: 0-8493-9695-6
2. F. Der Heijden, R. Duin, D. Ridder, D. Tax; Classification, Parameter Estimation and State Estimation. An Engineering Approach using Matlab, Wiley, 2004
Teaching methods and learning activities
Presentation of image analysis and classification methodologies and discussing of Computer Aided Diagnosis topics. Four-five groups of 2-3 students will present five CAD case studies and develop a basic application.
Software
Matlab
Evaluation Type
Distributed evaluation with final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Attendance (estimated) |
Participação presencial |
42,00 |
|
|
|
Total: |
- |
0,00 |
|
Amount of time allocated to each course unit
Description |
Type |
Time (hours) |
End date |
Analysis and discussion of a scientific paper |
Estudo autónomo |
12 |
2011-04-27 |
|
Total: |
12,00 |
|
Eligibility for exams
To reach a passing grade during the semester
Calculation formula of final grade
1. Evaluation during the semester (50%)
• Study, analysis and discussion of a scientific paper (group of 2 students) (25%)
• Assignment (2 students) (25%). The assignment is due on May 28, including public presentation on the week of June 1.
2. Exam (50%
Examinations or Special Assignments
Case studies: analysis and discussion of a scientific paper (group of 2 students) (25%)
Assignment (2 students) (25%): the assignment is due on May 28, including public presentation on the week of June 1.
Special assessment (TE, DA, ...)
Not applicable
Classification improvement
Not applicable