Essays about: "datortomografi"
Showing result 1 - 5 of 58 essays containing the word datortomografi.
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1. Fibroblasttillväxtfaktor-23 (FGF-23) – en möjlig biomarkör för osteoartrit hos katt?
University essay from SLU/Dept. of Clinical SciencesAbstract : Osteoartrit är en kronisk obotlig ledsjukdom som är vanlig hos katt. Trots att osteoartrit är associerad med smärta kan sjukdomen hos katt vara svår att diagnosticera. READ MORE
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2. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction
University essay from KTH/Matematisk statistikAbstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE
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3. Optic nerve sheath diameter semantic segmentation and feature extraction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. READ MORE
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4. Improving proton therapy planning with photon-counting spectral computed tomography
University essay from KTH/FysikAbstract : Proton radiation therapy is an alternative to conventional photon radiation therapy, which accounts for the majority of radiation treatments today. The rationale for using protons in radiation therapy lies in their dose deposition properties; photons deposit a radiation dose inversely proportional to the energy, and therefore tissue depth, while protons exhibit a sharp Bragg peak when traversing matter. READ MORE
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5. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE