Blar i UiS Brage på forfatter "Quílez, Álvaro Fernández"
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A Multi-class Dementia Classification Assessment Utilizing GAN to Convert MRI Scans from the 1.5T Domain to the 3.0T Domain
Godal, Håvard (Master thesis, 2022)Dementia is the seventh leading cause of death among all diseases and increases rapidly. With 10 million new cases every year, research is crucial for finding a treatment to cure dementia in the future. Magnetic resonance ... -
Conditional data generation for an improved diagnosis in prostate cancer
Parvez, Omer (Master thesis, 2021)Prostate Cancer is the second most common cancer in men worldwide, the fourth most commonly occurring cancer overall and the sixth leading cause of cancer death among men worldwide. Early detection of prostate cancer is ... -
Exploring Generative Adversarial Networks to Improve Prostate Segmentation on MRI
Larsen, Steinar Valle (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)Prostate cancer is the second most occurring cancer and the sixth leading cause of cancer death among men worldwide. The number of cases is expected to increase dramatically due to population growth and increased expected ... -
Learning to Recommend Biopsies for Prostate Cancer with Deep Learning
Thangngat, Philip; Rolfsnes, Erlend Sortland (Bachelor thesis, 2023)Prostate cancer (PCa) is one of the most prevalent cancer types in the world, and it is the dominant type of cancer among males in Norway. Detection of PCa is done with the help of magnetic resonance imaging (MRI), which ... -
Multi-planar segmentation of prostate MRI images
Ytredal, Tord Martin; Lindeijer, Tim Nikolaas (Bachelor thesis, 2023)Prostate cancer (PCa) is one of the most prevalent cancers worldwide. When diagnosing PCa, magnetic resonance imaging (MRI) is a useful, non-invasive tool for imaging the prostate. Prostate MRI images are segmented to help ... -
Multi-planar segmentation of prostate MRI images
Lindeijer, Tim Nikolaas; Ytredal, Tord Martin (Bachelor thesis, 2023)Prostate cancer (PCa) is one of the most prevalent cancers worldwide. When diagnosing PCa, magnetic resonance imaging (MRI) is a useful, non-invasive tool for imaging the prostate. Prostate MRI images are segmented to help ... -
Prostate Lesion Detection on Apparent Diffusion Coefficient MRI based on Convolutional Neural Networks
Obrestad, Emil (Master thesis, 2021)In 2020 there were 1 414 259 new incidences and 375 304 deaths worldwide caused by prostate cancer. The number of cases could increase even further in the future due to higher life expectancy and population growth. Prostate ... -
Utforsking av Transformer til automatisk svulstsegmentering i prostatakreft
Mikkelsen, Magnus; Sandblåst, Helene Sandven (Bachelor thesis, 2023)Prostatakreft er den nest vanligste kreftformen blant menn over hele verden. Påvisning av kreft er derimot en krevende oppgave til tross for moderne medisinsk bildediagnostikk og avansert automatiske bildesegmenterings-teknikker ...