Search for dissertations about: "visualization"
Showing result 16 - 20 of 570 swedish dissertations containing the word visualization.
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16. Level Set Segmentation and Volume Visualization of Vascular Trees
Abstract : Medical imaging is an important part of the clinical workflow. With the increasing amount and complexity of image data comes the need for automatic (or semi-automatic) analysis methods which aid the physician in the exploration of the data. READ MORE
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17. Image Processing, Machine Learning and Visualization for Tissue Analysis
Abstract : Knowledge discovery for understanding mechanisms of disease requires the integration of multiple sources of data collected at various magnifications and by different imaging techniques. Using spatial information, we can build maps of tissue and cells in which it is possible to extract, e.g. READ MORE
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18. Statistically Guided Visualization and Exploratory Analysis of Omics Data
Abstract : This thesis deals with methods for extracting robust and relevant information from high-dimensional data sets, and statistically guided visualization methods for representing the data in an informative and easily accessible way. High-dimensional data sets are becoming increasingly prevalent in many different scientific disciplines. READ MORE
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19. Direct Volume Haptics for Visualization
Abstract : Visualization is the process of making something perceptible to the mind or imagination. The techniques for producing visual imagery of volumetric data have advanced immensely during the last decades to a point where each produced image can include an overwhelming amount of information. READ MORE
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20. Web Applications for Large-Scale Decision Support : Preference Elicitation, Modeling and Visualization
Abstract : This thesis addresses the lack of effective and efficient technology design in current e-participation research by investigating two approaches that yet have not been explored to any great extent in the literature: decision science and data visualization. It is concerned with the problem of how to combine techniques from these two fields to achieve decision support in the context of e-participation; from preference elicitation and modeling to data analysis, visualization and final recommendations, such that it can provide value to practitioners. READ MORE