Sökning: "CycleGAN"

Visar resultat 21 - 23 av 23 uppsatser innehållade ordet CycleGAN.

  1. 21. Improving Image Quality in Cardiac Computed Tomography using Deep Learning

    Master-uppsats, Linköpings universitet/Avdelningen för kardiovaskulär medicin

    Författare :David Wajngot; [2019]
    Nyckelord :deep learning; neural network; GAN; cycleGAN; CT; heart; imaging; medical imaging;

    Sammanfattning : Cardiovascular diseases are the largest mortality factor globally, and early diagnosis is essential for a proper medical response. Cardiac computed tomography can be used to acquire images for their diagnosis, but without radiation dose reduction the radiation emitted to the patient becomes a significant risk factor. LÄS MER

  3. 22. COMPARISON OF GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGING APPLICATIONS - MR to CT image synthesis

    Magister-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Christoffer Edlund; [2019]
    Nyckelord :;

    Sammanfattning : Cancer is one of the leading causes of death worldwide with about half of all cancer patients undergoing radiation therapy, either as a standalone treatmentor in combination with other methods such as chemotherapy. ‘The dose planning of radiation therapy is based on medical images such as CT and MR images. LÄS MER

  4. 23. Synthesis of Thoracic Computer Tomography Images using Generative Adversarial Networks

    Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

    Författare :Julia Hagvall Hörnstedt; [2019]
    Nyckelord :Generative Adversarial Networks; deep learning; image synthesis; synthetic images; image segmentation;

    Sammanfattning : The use of machine learning algorithms to enhance and facilitate medical diagnosis and analysis is a promising and an important area, which could improve the workload of clinicians’ substantially. In order for machine learning algorithms to learn a certain task, large amount of data needs to be available. LÄS MER