National Repository of Grey Literature 24 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Detection and Classification of Damage in Fingerprint Images Using Neural Nets
Vican, Peter ; Rydlo, Štěpán (referee) ; Kanich, Ondřej (advisor)
The aim of the diploma thesis is to study and propose improvement of the current convolutional neural network for the classification and detection of fingerprint disease. An improvement of the current convolutional neural network is the change of library for the algorithm of learning, detecting and classifying fingerprint damage. Other improvements are to change  the convolutional neural network model and a change in the activation function. At the same time, preprocessing using the Gabor filter will be added. Another change is in the area of thresholding. Next, there will be a change in general-purpose algorithms that will simplify the work for expanding database creation, the learning process itself, the classification and detection process, and the network testing process. At the same time, this network will be expanded with a new prediction and classification. Specifically the damage caused by eczema, psoriasis, pressure and moisture. The improved convolutional neural network is implemented by PyTorch. The network detects which part of the fingerprint is damaged and draws this part into the fingerprint. At the same time, the type of disease or imprint damage is classified during detection. Synthetic fingerprints are used in network training and are supplemented by real fingerprints.
Detection and Classification of Damage in Fingerprint Images Using Neural Nets
Vican, Peter ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
The aim of this diploma thesis is to study and design experimental improvement of the convolutional neural network for disease detection. Another goal is to extend the classifier with a new type of detection. he new type of detection is damage fingerprint by pressure. The experimentally improved convolutional network is implemented by PyTorch. The network detects which part of the fingerprint is damaged and draws this part into the fingerprint. Synthetic fingerprints are used when training the net. Real fingerprints are added to the synthetic fingerprints.
Phototherapy
Joklík, Vojtěch ; Škoda, Jan (referee) ; Štěpánek, Jaroslav (advisor)
This thesis describes relationship between human body and light. It is focused on perception of light with human eye, skin and their reaction to incident light and its intensity. Then it contains short description of Icterus Neonatorum (yellow-gum), Constitutional Dermatitis, Lepriasis and their treatment. It is followed by description of various sources of light, their use in medicine and reaction of body to them. This work includes measurements and evaluation of five sources of light.
The effect of swimming training on children with skin problems
Kleinerová, Kateřina
The diploma thesis focuses on children of early school age who have undergone mandatory swimming training in pools with various water disinfection methods, specifically chlorine, salt, and UV+. The aim of the thesis is to analyse how this swimming instruction affects children with different skin conditions, such as dry skin, atopic eczema, psoriasis, and plantar warts. The research was conducted at three different primary schools, each of which visited a different swimming pool with a distinct water treatment method during the swimming lessons. A total of 348 students participated in the research, including 172 girls and 176 boys from the 3rd and 4th grades, aged 8 to 11. The research utilized the method of quantitative personal interviewing and the method of qualitative observation. The theoretical part delves into swimming, swimming instruction, water treatment methods in swimming pools, and selected skin diseases. The practical part outlines the research findings. The obtained results demonstrated that skin dryness was observed in 35.4% of students from all three schools participating in swimming lessons. Skin dryness manifested in 26.5% of students in the chlorinated pool, in 46.2% of students in the salt-treated pool, and in 34.6% of students in the UV+ pool. The exacerbation of atopic eczema...
The effect of swimming training on children with skin problems
Kleinerová, Kateřina ; Svobodová, Irena (advisor) ; Jandová, Soňa (referee)
The diploma thesis focuses on children of early school age who have undergone mandatory swimming training in pools with various water disinfection methods, specifically chlorine, salt, and UV+. The aim of the thesis is to analyse how this swimming instruction affects children with different skin conditions, such as dry skin, atopic eczema, psoriasis, and plantar warts. The research was conducted at three different primary schools, each of which visited a different swimming pool with a distinct water treatment method during the swimming lessons. A total of 348 students participated in the research, including 172 girls and 176 boys from the 3rd and 4th grades, aged 8 to 11. The research utilized the method of quantitative personal interviewing and the method of qualitative observation. The theoretical part delves into swimming, swimming instruction, water treatment methods in swimming pools, and selected skin diseases. The practical part outlines the research findings. The obtained results demonstrated that skin dryness was observed in 35.4% of students from all three schools participating in swimming lessons. Skin dryness manifested in 26.5% of students in the chlorinated pool, in 46.2% of students in the salt-treated pool, and in 34.6% of students in the UV+ pool. The exacerbation of atopic eczema...
Epidemiology, comorbidities and quality of life in patients with psoriasis
Hugo, Jan ; Gkalpakiotis, Spyridon (advisor) ; Kodet, Ondřej (referee) ; Slonková, Veronika (referee)
Psoriasis is a complex systemic disease included among the Immune-Mediated Inflammatory Diseases (IMID). Although not life-threatening in itself, it has a dramatic impact on patients' quality of life and is associated with a risk of developing a number of comorbidities. Therefore, considering that it is one of the most common chronic dermatoses, affecting more than 100 million people worldwide, the WHO has designated psoriasis as a major global health problem. The goal of the treatment is to get the disease under long-term control, to achieve the fewest visible manifestations and minimal activity of new ones, while in patients with severe psoriasis, systemic therapy is necessary. However, this has been very difficult for a long time, because conventional systemic therapies were often not sufficiently effective, and due to side effects and the need for frequent laboratory tests, they were also not appropriate for long-term administration. Nevertheless, intensive research and a better understanding of the aetiopathogenesis of psoriasis have led to the development of targeted biological therapy, which represents a significant advance in both efficacy and safety. But it is a new therapy, so many questions are not yet answered, especially with newer generations of biological therapy. Therefore, our work...
Lipid-based nanoparticles for the delivery of naphthoquinone derivatives for the treatment of psoriasis
Ulrichová, Tereza ; Hrubý, Martin (advisor) ; Poučková, Pavla (referee)
Psoriasis is an autoimmune chronic skin disease with a global prevalence of around 2-4%. Pharmacological treatment currently serves mainly to suppress the symptoms of the disease. However, many drugs have major side effects and therapy must often be discontinued. On the other hand, advances in understanding the pathophysiology of psoriasis have pointed out several molecular targets to be considered for future treatment. Traditional Chinese medicine has been using herbal extracts containing various types of 1,4-naphthoquinones for psoriasis treatment. These naphthoquinones have attracted much attention from the pharmaceutical industry for their structural diversity and wide range of pharmacological effects. Colored 1,4-naphthoquinones shikonin, juglon and their derivatives have already been tested on a numerous cell lines and animal models. The problem is their limited solubility in water, thermolability and susceptibility to oxidation and polymerization. Topical application is complicated by their strong binding to the upper layer of the skin, which causes skin discoloration that is difficult to wash off and reduces their penetration into the deeper layers of the skin, where their therapeutic effect is needed. To solve these problems, we developed within this thesis colorless prodrugs based on...
Detection and Classification of Damage in Fingerprint Images Using Neural Nets
Vican, Peter ; Rydlo, Štěpán (referee) ; Kanich, Ondřej (advisor)
The aim of the diploma thesis is to study and propose improvement of the current convolutional neural network for the classification and detection of fingerprint disease. An improvement of the current convolutional neural network is the change of library for the algorithm of learning, detecting and classifying fingerprint damage. Other improvements are to change  the convolutional neural network model and a change in the activation function. At the same time, preprocessing using the Gabor filter will be added. Another change is in the area of thresholding. Next, there will be a change in general-purpose algorithms that will simplify the work for expanding database creation, the learning process itself, the classification and detection process, and the network testing process. At the same time, this network will be expanded with a new prediction and classification. Specifically the damage caused by eczema, psoriasis, pressure and moisture. The improved convolutional neural network is implemented by PyTorch. The network detects which part of the fingerprint is damaged and draws this part into the fingerprint. At the same time, the type of disease or imprint damage is classified during detection. Synthetic fingerprints are used in network training and are supplemented by real fingerprints.
Chronic Inflammation and Metabolic Syndrom in Patients with Psoriasis
Vachatová, Simona ; Ettler, Karel (advisor) ; Vašků, Vladimír (referee) ; Tichý, Martin (referee)
Psoriasis is a chronic recurrent inflammatory disease. Genetic and immunological factors are involved in development of psoriasis. Psoriasis is associated with numerous comorbidities including metabolic syndrome (MetS). Adipocytokines produced by white adipose tissue may be involved in the pathogenesis of psoriasis. Adipocytokines could serve as a missing link in the association between psoriasis and obesity/MetS. The most important adipokines include adiponectin, leptin and resistin. Adiponectin is expressed by adipocytes and has a high anti- inflammatory potential. Leptin is a protein produced in adipose tissue and is an important part in regulating energy metabolism. It has a pro-inflammatory effect. Polypeptide resistin is produced by macrophages and monocytes of the visceral adipose tissue. It was named for its ability to induce insulin resistence. Lipoprotein-associated phospholipase A2 (Lp-PLA2) is also product of macrophages, that can be served as a marker for cardiovascular risk. Increased smoking rates in patients with psoriasis is associated with their reduced quality of life. In addition, smoking of tobacco cigarettes is closely associated with MetS: smokers have an increased risk of MetS. Between psoriasis and smoking has also been demonstrated a direct link. Smoking is a well-recognized cause...
Detection and Classification of Damage in Fingerprint Images Using Neural Nets
Vican, Peter ; Drahanský, Martin (referee) ; Kanich, Ondřej (advisor)
The aim of this diploma thesis is to study and design experimental improvement of the convolutional neural network for disease detection. Another goal is to extend the classifier with a new type of detection. he new type of detection is damage fingerprint by pressure. The experimentally improved convolutional network is implemented by PyTorch. The network detects which part of the fingerprint is damaged and draws this part into the fingerprint. Synthetic fingerprints are used when training the net. Real fingerprints are added to the synthetic fingerprints.

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