Search for dissertations about: "binary image processing"
Showing result 1 - 5 of 17 swedish dissertations containing the words binary image processing.
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1. On Medical Image Segmentation With Noisy Labels
Abstract : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. READ MORE
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2. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection
Abstract : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. READ MORE
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3. Image Processing Architectures for Binary Morphology and Labeling
Abstract : Conventional surveillance systems are omnipresent and most are still based on analog techniques. Migrating to the digital domain grants access to the world of digital image processing enabling automation of such systems, which means extracting information from the image stream without human interaction. READ MORE
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4. Advanced Machine Learning Methods for Oncological Image Analysis
Abstract : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. READ MORE
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5. On Feature Extraction and Classification in Speech and Image Processing
Abstract : The natural world is home to innumerable patterns in various forms, which humans are able to locate and interpret by means of the senses. This thesis presents and explores different techniques that mimic such behavior through the use of artificial sensors and computational power, i.e. READ MORE