Blar i Faculty of Science and Technology på forfatter "Fernandez-Quilez, Alvaro"
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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 ...