Blar i UiS Brage på forfatter "Fernandez-Quilez, Alvaro"
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Deep learning for an improved diagnostic pathway of prostate cancer in a small multi-parametric magnetic resonance data regime
Fernandez-Quilez, Alvaro (PhD thesis UiS;, Doctoral thesis, 2022-06)Prostate Cancer (PCa) is the second most commonly diagnosed cancer among men, with an estimated incidence of 1.3 million new cases worldwide in 2018. The current diagnostic pathway of PCa relies on prostate-specific antigen ... -
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 ... -
Robust prostate segmentation with statistical guarantees
Gade, Marius (Master thesis, 2024) -
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 ...