Search for dissertations about: "mathematical analysis of medical images"

Showing result 11 - 15 of 19 swedish dissertations containing the words mathematical analysis of medical images.

  2. 11. Mathematical Foundations of Equivariant Neural Networks

    Author : Jimmy Aronsson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; symmetry; geometric deep learning; gauge theory; induced representations; fiber bundles; convolutional neural networks; equivariance;

    Abstract : Deep learning has revolutionized industry and academic research. Over the past decade, neural networks have been used to solve a multitude of previously unsolved problems and to significantly improve the state of the art on other tasks. However, training a neural network typically requires large amounts of data and computational resources. READ MORE

  4. 12. Finite Element and Neuroimaging Techniques toImprove Decision-Making in Clinical Neuroscience

    Author : Xiaogai Li; Svein Kleiven; Hans von Holst; Bernhard A Schrefler; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Traumatic brain injury; Intracranial Pressure; Brain edema; Gravitational force; Finite Element Model; Poroelastic parameter; Decompressive craniotomy; Image registration; Water content; Strain level; Diffusion Weighted Imaging;

    Abstract : Our brain, perhaps the most sophisticated and mysterious part of the human body, to some extent, determines who we are. However, it’s a vulnerable organ. When subjected to an impact, such as a traffic accident or sport, it may lead to traumatic brain injury (TBI) which can have devastating effects for those who suffer the injury. READ MORE

  5. 13. Large data and machine learning in analysis, diagnostics, and clinical decision making: applications in the treatment of burn injury

    Author : Jian Fransén; Fredrik Huss; Johan Lundin; Yvette Andersson; Andrew Lindford; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Burn wound infection; Antibiotic susceptibility; Burn mortality; Machine learning; Burns; Burn assessment; Convolutional neural network; Artificial intelligence; Intensive care; ; Plastikkirurgi; Plastic Surgery; Surgery; Kirurgi; Machine learning; Maskininlärning;

    Abstract : Burn injury is a common trauma globally. Large burns require fluid resuscitation, infection control, and specialized intensive care. The size of the burn and infections caused by resistant microbes are correlated to mortality, and accurate mortality predictions are important. READ MORE

  6. 14. Modeling glioblastoma growth patterns and their mechanistic origins

    Author : Emil Rosén; Sven Nelander; Rebecka Jörnsten; Philip Gerlee; Kristin Swanson; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; glioblastoma; invasion; image analysis; neural networks; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik; Oncology; Onkologi; Molekylär medicin; Molecular Medicine;

    Abstract : Glioblastoma (GBM) is the most common and aggressive primary brain cancer. GBM cells migrate away from the primary lesion and invade healthy brain tissue. The invading cells escape surgical resection, radiotherapy and develop resistance to chemotherapy. Consequently, despite treatment, recurrence is inevitable, and survival is only 14 months. READ MORE

  7. 15. Effects of nonlinear noise reduction algorithms on image quality in computed tomography systems. Evaluations using human observers and methods for assessing distortion

    Author : Joel Larsson; Göteborgs universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computed Tomography; Nonlinear noise reduction; Visual grading; Distortion analysis;

    Abstract : Many conventional radiological examinations have during the past decades been replaced by examinations performed on computed tomography (CT) systems. One reason is that a CT system, in contrast to a conventional X-ray system, depicts slices of the body so that anatomical structures to a lesser extent risk to obscure the potential pathology. READ MORE