Title Statistinių apdorojimo metodų taikymas žmogaus audinių struktūros pažeidimų parametrams vertinti ir matavimų tikslumui ultragarsu padidinti /
Translation of Title Application of the statistical post - processing methods in order to estimate the parameters of lesions of human tissue and increase the accuracy of ultrasonic measurements.
Authors Drulytė, Indrė
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Pages 52
Keywords [eng] ultrasound ; digital dermatoscopy ; melanoma ; Gaussian smoothing ; nonparametric statistics
Abstract [eng] The number of people who are diseased by skin melanoma has been increasing faster and faster during the last three decades. The most significant factors that strongly influence skin cancer are genetics and the health history of family, as well as other environmental factors. A focus on the selection of the features and characteristics of lesions of skin tissue provides the possibility to achieve a faster diagnosis, to have more accurate prediction of the disease, to save more people lives and to select an appropriate method of treatment, along with the possibility to diminish the cost of treatment. Ultrasound technologies allow the capture of high accuracy images of human skin. Scanning the human body by ultrasound, echo and its differences are captured, because bones, fat and muscles reflect differently. Reflected ultrasound waves are translated to electric impulses, which help to perform imaging, estimate shape and to analyze boundaries of the lesion. Deeper skin layers can hold very informative data related to the analysis of diagnosing the early stage of melanoma. A newly developed and proposed automatic algorithm based on the synergy of data captured by using two different imaging technologies (ultrasound and digital dermatoscopy) can supplement well-known decision support tools in clinical practice and help to reduce the number of histological examinations and provide important information about the thickness of a skin tumour before planning any surgery.
Dissertation Institution Kauno technologijos universitetas.
Type Summaries of doctoral thesis
Language Lithuanian
Publication date 2019