Browsing Faculty of Science and Technology by Author "Fernandez-Quilez, Alvaro"

Now showing items 1-2 of 2

    • Deep learning-based prostate cancer detection in magnetic resonance imaging 

      Solberg, Njord A.; Sørensen, Mattis (Bachelor thesis, 2024)
      This thesis explores the application of deep learning (DL) models to improve the detection and diagnosis of clinically significant prostate cancer (csPCa) in T2-weighted magnetic resonance imaging (MRI) scans. The primary ...

    • Uncertainty quantification in prostate segmentation 

      Nguyen, Kevin Mekhaphan (Master thesis, 2023)
      Prostate cancer, a significant global health challenge, necessitates innovative diagnostic solutions. Despite the invaluable role of Magnetic Resonance Imaging (MRI), challenges persist in analysis due to time-intensive ...