Sökning: "denoising"

Visar resultat 1 - 5 av 50 uppsatser innehållade ordet denoising.

  1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Falk DIppel; [2023-10-23]
    Nyckelord :Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

    Sammanfattning : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. LÄS MER

  3. 2. Quality enhancement of time-resolved computed tomography scans with cycleGAN

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Johannes Stubbe; [2023]
    Nyckelord :carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Sammanfattning : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. LÄS MER

  4. 3. Emphysema Classification via Deep Learning

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Olov Molin; [2023]
    Nyckelord :Deep learning; emphysema; CNN;

    Sammanfattning : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. LÄS MER

  5. 4. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Joakim Nylander Nordström; [2023]
    Nyckelord :Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Sammanfattning : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. LÄS MER

  7. 5. Image Colorization Based on Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tao Deng; [2023]
    Nyckelord :Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

    Sammanfattning : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. LÄS MER