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Criterial function for retinal image registration
Horáková, Pavla ; Kolář, Radim (referee) ; Harabiš, Vratislav (advisor)
This bachelor‘s thesis is focused on comparison criterial functions, which are usually used in registration of retinal images. Criterial functions reflect degree of images’ sameness thereby they influence proper registration considerably. The aim of this thesis is to discover criterial function, which is the best for image registration of retina. Registration of images is very difficult; it is important to get some informations such as an uniqueness or a shape of function.
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Illness Detection in Eye Retina Image
Aubrecht, Tomáš ; Drahanský, Martin (referee) ; Semerád, Lukáš (advisor)
Age-related macular degeneration is one of the most common retinal diseases of the human eye that leads at different rates to blindness. This disease occurs in two forms. While the wet can slow down its progression, for dry form there is no available treatment method so far, so prevention is the most important. For this reason, the aim of this work is to design and implement software that allows automatic detection of the symptoms of this disease from retinal images. The symptom detection algorithm is based on adaptive thresholding which obtains suspicious areas that are subsequently categorized. 407 retinal images were used for the evaluation and the software was highly successful. When used in conjunction with an optical retinal scanner, it helps ophthalmologists, for example, to diagnose more quickly.
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Detection and Recognition of ARMD Disease Impacts to the Human Eye Retina
Stančíková, Ivana ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
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.
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Detection and Recognition of ARMD Disease Impacts to the Human Eye Retina
Stančíková, Ivana ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
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.
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Illness Detection in Eye Retina Image
Aubrecht, Tomáš ; Drahanský, Martin (referee) ; Semerád, Lukáš (advisor)
Age-related macular degeneration is one of the most common retinal diseases of the human eye that leads at different rates to blindness. This disease occurs in two forms. While the wet can slow down its progression, for dry form there is no available treatment method so far, so prevention is the most important. For this reason, the aim of this work is to design and implement software that allows automatic detection of the symptoms of this disease from retinal images. The symptom detection algorithm is based on adaptive thresholding which obtains suspicious areas that are subsequently categorized. 407 retinal images were used for the evaluation and the software was highly successful. When used in conjunction with an optical retinal scanner, it helps ophthalmologists, for example, to diagnose more quickly.
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Criterial function for retinal image registration
Horáková, Pavla ; Kolář, Radim (referee) ; Harabiš, Vratislav (advisor)
This bachelor‘s thesis is focused on comparison criterial functions, which are usually used in registration of retinal images. Criterial functions reflect degree of images’ sameness thereby they influence proper registration considerably. The aim of this thesis is to discover criterial function, which is the best for image registration of retina. Registration of images is very difficult; it is important to get some informations such as an uniqueness or a shape of function.
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The analyzis of the communication tools used to support the pharmaceutical products PROTECTUM
Zaoral, Jaromír ; Halík, Jaroslav (advisor) ; Peroutková, Petra Miriel (referee)
The subject of this thesis is to analyze the communication tools used to support the pharmaceutical products PROTECTUM. From a theoretical point of view, this thesis describes the specifics of marketing in pharmacy, concerning the disease "age-related macular degeneration" and products that treat this disease. The theoretical findings are used in the following practical part. The practical part of this thesis focuses on the analysis of the market for these products - the lutein market. It describes the major companies operating in this sector. It presents the results of a survey dealing with the promotion of the products in the place of sale. The main point of this work is the SWOT analysis of business communication tools of the firm GLIM care. Based on the SWOT analysis, amendments are proposed to the existing communication strategy.
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