Thesis Details
Nástroj pro detekci a opravu snímků nemocemi poškozených sítnic oka
Loss or partial loss of eye sight can have major effect on quality of person's life. One of the most common diseases, which causes loss or partial loss of eye sight are diabetic retinopathy and age releated macular degeneration. Both of these diseases can be prevented or mediated by early detection and proper treatment. The fundus camera, which is used to capture eye retina, has had major effect on increasing quality and speed of early detection. Images captured by fundus camera can be automatically analyzed in order to detect any possible signs of retina damage. This thesis proposes one possible way of automating this process. First part of this thesis describes eye, its diseases and capturing technology. Second part then proposes way of automating detection process and its implementation. Lastly, the results are evaluated.
Eye retina, oftalmology, eye retina damage, damage detection, image processing, haemorrhage, microaneurysms, diabetic retinopathy, exudates
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT23108,
author = "Jakub Jochl\'{i}k",
type = "Master's thesis",
title = "N\'{a}stroj pro detekci a opravu sn\'{i}mk\r{u} nemocemi po\v{s}kozen\'{y}ch s\'{i}tnic oka",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2020,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/23108/"
}