Sökning: "Fanny Asketun"

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  1. 1. Detection of Fat-Water Inversions in MRI Data With Deep Learning Methods

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Lisa Hellgren; Fanny Asketun; [2021]
    Nyckelord :mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder;

    Sammanfattning : Magnetic resonance imaging (MRI) is a widely used medical imaging technique for examinations of the body. However, artifacts are a common problem, that must be handled for reliable diagnoses and to avoid drawing inaccurate conclusions about the contextual insights. LÄS MER