Thesis Details

Porovnávání retinálních obrázků s patologickými nálezy

Bachelor's Thesis Student: Palacková Bianca Academic Year: 2018/2019 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
English title
Comparison of Retinal Images with Pathological Findings
Language
Czech
Abstract

The goal of this thesis is to design and implement software for comparison of retinal images with pathological findings. The most common diseases affecting the retina are diabetic retinopathy and age related macular degeneration. Detection of main components such as optic disc and fovea, need to be detected for proper comparison and detection of diseases. 570 images was used for evaluation of detection of these main components. In both cases, algorithm achieved success over 90\%. 120 images were analysed by 3 ophthalmologists for evaluation of ability to locate pathological findings. Automatic comparison of retinal images can be useful for determination of disease progression. 

Keywords

eye retina, eye diseases, diabetic retinopathy, image processing, OpenCV, C++

Department
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
10 June 2019
Reviewer
Committee
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT), předseda
Fusek Michal, Ing., Ph.D. (DMAT FEEC BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
PALACKOVÁ, Bianca. Porovnávání retinálních obrázků s patologickými nálezy. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-10. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/22084/
BibTeX
@bachelorsthesis{FITBT22084,
    author = "Bianca Palackov\'{a}",
    type = "Bachelor's thesis",
    title = "Porovn\'{a}v\'{a}n\'{i} retin\'{a}ln\'{i}ch obr\'{a}zk\r{u} s patologick\'{y}mi n\'{a}lezy",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22084/"
}
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