Thesis Details
Detekce a rozpoznání projevů onemocnění VPMD na sítnici lidského oka
This thesis aims to create a software able to detect symptoms of age-related macular degeneration in images of human eye retina. This condition is considered one of the leading causes of vision loss in older adults. Lesions of the macular area called drusen are the first and also the most distinctive sign of developing ARMD. The approach presented in this thesis utilizes methods of image processing and computer vision to recognize retinal structures, in particular the optical disk and blood vessels, and distinguish between these structures and actual symptoms of the disease. The evaluation of the program's success rate was performed on 692 images originating from four databases. The resulting solution has the potential to assist medical professionals with earlier diagnosis of the disease and thus contribute to prevention of severe vision loss.
age-related macular degeneration, ARMD, human eye, retina, eye diseases, drusen, detection, image processing, C++, OpenCV
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
@bachelorsthesis{FITBT21284, author = "Ivana Stan\v{c}\'{i}kov\'{a}", type = "Bachelor's thesis", title = "Detekce a rozpozn\'{a}n\'{i} projev\r{u} onemocn\v{e}n\'{i} VPMD na s\'{i}tnici lidsk\'{e}ho oka", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/21284/" }