Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 31 for “"manual segmentation"”.
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The longitudinal effects of HIV and ART on the developing brain: a structural MRI study using manual segmentation
… and 10 years 3 T Skyra Siemens. Images were manually traced, by the author, for volumes of basal ganglia structures and corpus callosum using MultiTracer. Twenty-seven individuals were rescanned to assess whether incorporation and integration of 10 year old scanner data with scans from …
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Multi-class segmentation of brain tumor using Convolution Neural Network
… Resonance (MR) images. Due to the challenges in manual segmentation, computerized brain tumor segmentation is one of the most important challenges in medical imaging. The fully convolutional structure of the network makes it faster than any network with a dense fully connected layer. The two …
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Pipeline for semi-automatic segmentation of confluent endothelial cell membranes
… required to assess individual cell parameters. Manual segmentation, on the other hand, is not feasible for assessing heterogeneity because it requires segmentation of each individual cell. In this project, we tested two approaches to semi-automatic cell segmentation to improve both accuracy and …
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Segmentation of nerve bundles and ganglia in spine MRI using particle filters
Automatic segmentation of spinal nerve bundles originating within the dural sac and exiting the spinal canal is important for diagnosis and surgical planning. The variability in intensity, contrast, shape and direction of nerves seen in high resolution myelographic MR images makes segmentation a …
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Procedural analyses of image-based and multiscale investigations of materials
… thin film rapid solidification and compared with manual measurements. This work sought to determine whether these procedures would be able to reduce inconsistencies due to subjective judgment calls made during manual annotation. In the case of the AM simulator, the results showed large deviations …
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Spatially varying threshold models for the automated segmentation of radiodense tissue in digitized mammograms
… compare favorably with a previously established manual segmentation technique.</p>
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Automated evaluation of radiodensities in a digitized mammogram database using local contrast estimation
… with those predicted by a previously established manual segmentation technique. The automated algorithms developed in this thesis show considerable promise to be extremely useful in epidemiological studies when correlating other behavioral and genetic risk factors with mammographic …
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NEW ADVANCES IN QUANTITATIVE RADIOLOGY:MRI IMAGING IN MYOPATHIES
… or histologically confirmed myopathies. Manual segmentation and PyRadiomics feature extraction enabled unsupervised clustering, revealing two distinct radiomic patterns corresponding to different clinical phenotypes. The study demonstrates that volumetric radiomics can identify …
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Strategies for the Characterization and Virtual Testing of SLM 316L Stainless Steel
… are very time consuming, traditionally requiring manual segmentation of imaged features. Two Python-based image analysis tools are developed here to automate the instance segmentation of manufacturing defects and subgranular cell features commonly found in SLM 316L stainless steel (SS) for …
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Three-dimensional free-hand ultrasound imaging system for medical applications
… greatly speeds up the calibration process. A manual segmentation tool is implemented to process the 2D ultrasound images. We use pixel nearest neighbor interpolation for our reconstruction, which is simple and fast. In order to avoid artifacts and large holes for reconstructed volume, our …
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Automated hippocampal location and extraction
… The gold standard of such measurement is manual tracing of the boundaries of the hippocampus on scans. This is known as a Region Of Interest (ROI) approach. ROI is laborious and there are difficulties with test-retest and inter-rater reliability. These difficulties are primarily due to …
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Software for Designing Custom Orbital-Craniofacial Implant Plans
… since thin bone structures in CT data must be manually segmented. The objective of this thesis was to research methods to accurately and efficiently design cranio-orbital implant plans, with a focus on the orbits, and to develop software that integrates these methods. Methods: The software …
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MRI Quantification of Cortical Bone Microstructure and Material Composition with Ultrashort Echo Time Sequences
… porosity and thickness without the need for manual segmentation of MR images or the use of external calibration samples. Automatic quantifications of porosity and geometry were demonstrated to be highly accurate as compared to those derived from expert human segmentation. Furthermore, …
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Improving Segmentation Pipelines for Medical Imaging using Deep Learning
… important steps in the clinical workflow is the segmentation of medical imaging, which can be used for a variety of clinical decision-making tasks such as disease diagnosis and treatment response evaluation. Manual segmentation of 3D medical imaging (such as computed tomography (CT) or magnetic …
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Automatic GUI Based Counting Software for Immunostaining Analysis Using Matlab GUIDE
Typically, researchers need to the manually count the number of cells in many histological sections. However, this manual counting method is labor intensive and time consuming. Manual counting is also subject to bias, where two individuals (who are blinded to each other’s results) normally count …
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Segmentation and scale detection algorithms for automated analysis of digitized historical maps
This thesis addresses the problems of automatic segmentation of objects in historical maps, automatic estimation of map scale and the design of a mathematical framework for understanding the uncertainties associated with map scale estimates. The problems are motivated by the lack of accuracy and …
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The effects of HIV-1 infection on subcortical brain structures in children receiving ART : a structural MRI study
… Magnetic Resonance Imaging (MRI) scans traced manually. The sample comprised 79 5-year old children, 52 with HIV and 27 uninfected controls. Infected children were all stable on antiretroviral therapy (ART) and were from the Children with HIV early antiretroviral (CHER) cohort who have been …
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Advancing Automatic Brain Tumour Segmentation Using Multi-Modal MRI
… enhanced through rapid and precise tumour segmentation in medical imaging. While manual segmentation is challenging, recent advancements in automatic brain tumour segmentation using deep learning (DL) have significantly improved accuracy. However, many of these models have limitations …
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Improving Cone-Beam Computed Tomography Based Adaptive Radiation Therapy with Deep Learning
… CBCT-based dose calculations. Additionally, auto-segmentation of CBCT is impeded by low image quality and a lack of training labels. Although addressing this issue is difficult, enhancing auto-segmentation is essential, as manual segmentation is highly time-consuming. This dissertation aims to …
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Accelerating point cloud cleaning
… pressure. Finally, existing semi-automated segmentation tools have difficulty targeting the diverse set of segmentation targets in heritage scans. We present a point cloud cleaning framework that attempts to improve each of these areas. First, we present a novel layering technique aimed at …
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