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.
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Showing 1 to 11 of 11 for “"3D Segmentation"”.
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Advancing 3D Segmentation: Deep Learning Techniques for Video and Medical Imaging
In the realm of computer vision, segmentation techniques have long been a cornerstone for understanding and interpreting complex visual data. While 2D segmentation has been extensively explored and has seen significant advancements, extending these successes to 3D segmentation presents a unique set …
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Multi-Class 3D Segmentation of Progressive Damage in Advanced Composites using Deep Learning
… to observe these complex damage mechanisms in 3D and 4D (3D spatial and 1D temporal) is normally analyzed by manual or semi-automated segmentation techniques, where a user identifies and segments the different damage modes (e.g., internal cracks) in the 2D tomograms that comprise the 3D …
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Machine Learning Methods for Brain Image Analysis
… I mainly focus on two problems: automatic segmentation of brain electron microscopy (EM) images and stacks, and integrative analysis of the gene expression and synaptic connectivity in the brain. I propose to use deep learning algorithms for the 2D segmentation of EM images. I designed an …
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3D Deep Learning Segmentation for Fiber Break Analysis of Carbon Fiber Reinforced Polymer Tomograms
… of CFRPs under stress, enabling real-time 3D observation of the material’s failure. Due to the data-rich nature of the 3D scans at each time step, such experiments can result in thousands of 2D images per scan and multiple scans at different time- or loading-steps per test. This accumulates …
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Computer Aided Analysis of Late Gadolinium Enhanced Cardiac MRI
… values. In this thesis, we present a complete 3D framework for automatic analysis of LGE CMR images. This framework achieves 3D segmentation of the myocardium as well as 3D classification of infarcts within the segmented myocardium, with robust and effective preprocessing measures overcoming …
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Novel image processing and deep learning methods for head and neck cancer delineation from MRI data
… are presented. Firstly, a head and neck ALNs segmentation pipeline including pre-processing of MRI data, knowledge-based detection, and extraction of 3D volume of ALNs is presented. Secondly, a 3D HNC delineation via improving detection and segmentation modules is presented. In these methods, …
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Cell Shapes Indicate Tissue Fluidity in Tumors
… Gewebemorphologie und Aggregatzustand von 3D-Geweben zu untersuchen. Ich untersuche Zellbeweglichkeit in 3D-Sphäroiden, wobei ich einen krebsartigen (ma- lignen) und einen nicht-krebsartigen Zelltyp miteinander vergleiche. Ich analysiere sowohl das Gesamtverhalten des Gewebes durch …
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Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation
… the size and complexity of the images, automated segmentation methods are required to obtain quantitative, objective and reproducible measurements of biological entities. In this thesis, we present two techniques for microscopy image analysis. Our first method, “Jelly Filling” is intended to …
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Developing a User-Friendly and Modular Framework for Deep Learning Methods in 3D Bioimage Segmentation
… new life into image analysis, especially for the segmentation, a challenging step required to quantify bidimensional (2D) and tridimensional (3D) objects. Despite deep learning promises, these methods are only slowly spreading in the biological field. In this PhD project, the 3D nucleus of the …
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The subnuclear localisation of Notch responsive genes
… salivary gland and larval L3 neuroblast. Using 3D image segmentation hundreds of nuclei were reconstructed and a volume based normalisation method was applied to determine the subnuclear localisation of several Notch targets with and without genetic manipulations of the Notch pathway.