Thesis Details

Detekce projevů onemocnění na sítnici lidského oka

Bachelor's Thesis Student: Koštialik Gabriel Academic Year: 2019/2020 Supervisor: Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Language
Slovak
Abstract

The most common cause of blindness in humans, between 20 and 64 years, is diabetic retinopathy. This disease is due to unclear reasons, but the cause is clear. Diabetes mellitus. The prognosis of the number of sick people in the future is very bad. For this reason, early diagnosis of diabetic retinopathy is highly needed, as untreated patients may lose sight very quickly. Therefore, the aim of this work is to design and implement an algorithm, that can automatically search for certain symptoms of the disease. The algorithm works on a way of adaptive Gaussian thresholding. A very important part of the algorithm is also pre-processing and subsequent classification of suspicious areas. The detection success was evaluated on 70 images from various databases, where the algorithm achieves very good results. Deploying this algorithm in diagnostics could greatly help to automate the whole process. Ultimately, this would mean earlier treatment for patients where the start time of treatment is critical.

Keywords

Eye, retina, diabetic retinopathy, image processing, openCV, python

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
8 July 2020
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
KOŠTIALIK, Gabriel. Detekce projevů onemocnění na sítnici lidského oka. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-08. Supervised by Drahanský Martin. Available from: https://www.fit.vut.cz/study/thesis/22993/
BibTeX
@bachelorsthesis{FITBT22993,
    author = "Gabriel Ko\v{s}tialik",
    type = "Bachelor's thesis",
    title = "Detekce projev\r{u} onemocn\v{e}n\'{i} na s\'{i}tnici lidsk\'{e}ho oka",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/22993/"
}
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