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 8 of 8 for “"Biomedical images"”.
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Certifying homological algorithms to study biomedical images
En esta tesis se aborda el problema de la verificación de programas para el procesamiento homológico de imágenes biomédicas. Concretamente, se formalizan en la herramienta de demostración Coq/SSReflect algoritmos para el cálculo de grupos de homología, lo que produce programas ejecutables que son …
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Restoration methods for biomedical images in confocal microscopy
Diese Arbeit stellt neue Loesungen zum Problem Bildrestauration im biomedizinischen Bereich vor. Das Konfokal-Mikroskop ist eine verhaeltnismaessig neue Bildungstechnik, die als Standardwerkzeug in biomedizinischen Studien eingesetzt wird. Diese Technik dient zum Sammeln einer Reihe von 2D Bildern …
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Processing biomedical images for the study of treatments related to neurodegenerative diseases
… to determine where neurons are located in large images and to ascertain which are the best features to describe this kind of cells.
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NoiseLearner: An Unsupervised, Content-agnostic Approach to Detect Deepfake Images
… in the improvement of hyper- realistic synthetic images or "deepfakes" at high resolutions, making them almost indistin- guishable from real images from cameras. While exciting, this technology introduces room for abuse. Deepfakes have already been misused to produce pornography, political …
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Error Resilient Video Coding Using Bitstream Syntax And Iterative Microscopy Image Segmentation
… challenge in image processing is the analysis of biomedical images acquired using optical microscopy. Due to 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 …
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Using Artificial Life to Design Machine Learning Algorithms for Decoding Gene Expression Patterns from Images
… to decoding gene expression patterns from images. If analysis of these images proves successful, then this can be applied to real biomedical images reducing the limitations of invasive imaging. The results showed that the box counting dimension was a suitable feature extraction method …
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Graph Representation Learning to Study the Tumour Microenvironment
… allow the acquisition of highly multiplexed biomedical images (HMBI) that generate spatial tissue maps of dozens of proteins capturing the intricacies of the TME. Combining the multidimensional cell phenotypes acquired with their spatial organization to predict clinically relevant information …
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The effect of scaffold structure and biologic factors on bone regeneration in cap-based scaffolds measured using machine learning
… segmented micro-computed tomography (Micro-CT) images of implanted scaffolds, a challenging segmentation problem because of the similar mineral composition, and thus attenuation, between scaffold and ingrown bone. Convolutional U-Net models are increasingly used for segmentation of biomedical …