Sökning: "MRI"

Visar resultat 21 - 25 av 400 uppsatser innehållade ordet MRI.

  1. 21. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

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

    Författare :Ann Abeysekera; Elina Tayebi; [2023]
    Nyckelord :;

    Sammanfattning : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. LÄS MER

  3. 22. Generalized super-resolution of 4D Flow MRI : extending capabilities using ensemble learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Adam Hjalmarsson; Leon Ericsson; [2023]
    Nyckelord :4D Flow MRI; Ensemble learning; Super-resolution; Machine learning; Neural networks; 4DFlowNet;

    Sammanfattning : 4D Flow Magnet Resonance Imaging (4D Flow MRI) is a novel non-invasive technique for imaging of cardiovascular blood flow. However, when utilized as a stand-alone analysis method, 4D Flow MRI has certain limitations including limited spatial resolution and noise artefacts, motivating the application of dedicated post-processing tools. LÄS MER

  4. 23. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Erika Ax; Elin Djerf; [2023]
    Nyckelord :mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Sammanfattning : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. LÄS MER

  5. 24. AI inom radiologi, nuläge och framtid

    Kandidat-uppsats,

    Författare :Linus Täreby; William Bertilsson; [2023]
    Nyckelord :Artificial intelligence AI ; Computer Science CS ; Machine Learning ML ; Artificial Neural Network ANN ; Deep Learning DL ; Radiology; Computed Tomography CT ; Magnetic Resonance Imaging MRI ; Artificiell intelligens AI ; Computer Science CS ; Machine Learning ML ; Artificial Neural Network ANN ; Deep Learning DL ; Radiologi; Computed Tomography CT ; Magnetic Resonance Imaging MRI ;

    Sammanfattning : Denna uppsats presenterar resultaten av en kvalitativ undersökning som syftar till att ge en djupare förståelse för användningen av AI inom radiologi, dess framtida påverkan på yrket och hur det används idag. Genom att genomföra tre intervjuer med personer som arbetar inom radiologi, har datainsamlingen fokuserat på att identifiera de positiva och negativa aspekterna av AI i radiologi, samt dess potentiella konsekvenser på yrket. LÄS MER

  7. 25. Deep Learning-Based Automated Landmark Localization for Evan’s Index Computation

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Richards Britto Christu Dhas; [2023]
    Nyckelord :;

    Sammanfattning : Hydrocephalus is a neurological disorder characterized by the accumulation of cerebrospinal fluid in the brain, leading to an enlargement of the ventricular system. Among its subtypes is idiopathic normal pressure hydrocephalus (iNPH), characterized by normal cerebrospinal fluid pressure. LÄS MER