Searched for: subject%3A%22Segmentation%22
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Gunce, Cem (author)
Today's electricity supply falls short of current demands, leading to the utilization of gas turbines in both ground based and avionic infrastructures. Nevertheless, these often rely on carbon-based fuels, resulting in escalating CO2 emissions. However, adopting hydrogen as a fuel eliminates carbon emissions. Aside from zero carbon emissions,...
master thesis 2024
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van Marrewijk, Jonas (author)
Segmentation of 3D medical images is useful for various medical tasks. However, fully automated segmentation lacks the accuracy required for medical purposes while manual segmentation is too time-consuming. Therefore, an active learning method can be used to generate an accurate segmentation using less user input. The active learning pipeline...
bachelor thesis 2023
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Budd, Jeremy M. (author), van Gennip, Y. (author), Latz, Jonas (author), Parisotto, Simone (author), Schonlieb, Carola Bibiane (author)
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations. A recent approach for solving such tasks is to perform this reconstruction jointly with the segmentation, using each to guide the other. However, this work has so far employed relatively simple segmentation...
journal article 2023
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Wagenaar, Claire (author)
In this thesis, several image segmentation techniques will be tested that eventually will be applied to MRI brain scans in order to detect hydrocephalus. The meth- ods include Sobel edge detection, Canny edge detection, active contour model (also known as snakes), k-means clustering and region growing. Furthermore two exten- sions are discussed....
bachelor thesis 2020
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Herrera Herrera, Meylin (author)
Landslides are destructive and recurrent natural disasters that cost annually significant social and economic losses all over the world. These events can be induced by natural factors as earthquakes and extreme rainfall, as well as by human intervention, including construction and mining. A primary resource to conduct landslides studies for...
master thesis 2019
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Sloots, J.J. (author)
Machine learning approaches are increasingly successful in medical image analysis. Still, learning from MR images poses some serious challenges. Scanner-dependent characteristics effect feature representations directly and hamper the clinical implementation of otherwise successful supervised-learning techniques. To compensate for variations in...
master thesis 2016
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Lee, D.J. (author)
Effective urban water management requires certainty about surface conditions such as the surface infiltration capacity (SIC). A SIC map of an urban catchment area could be a useful input for evidence-based urban design of water-sensitive/low-impact neighbourhoods and multitiered water management schemes for reducing flood vulnerability. Methods...
master thesis 2013
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Grigorescu, S.E. (author), Nevo, S.T. (author), Liedenbaum, M.H. (author), Truyen, R. (author), Stoker, J. (author), Van Vliet, L.J. (author), Vos, F.M. (author)
Computerized tomographic colonography is a minimally invasive technique for the detection of colorectal polyps and carcinoma. Computer-aided diagnosis (CAD) schemes are designed to help radiologists locating colorectal lesions in an efficient and accurate manner. Large lesions are often initially detected as multiple small objects, due to which...
journal article 2010
Searched for: subject%3A%22Segmentation%22
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