Search for dissertations about: "thesis in medical statistics"

Showing result 6 - 10 of 426 swedish dissertations containing the words thesis in medical statistics.

  2. 6. Statistical methods in medical image estimation and sparse signal recovery

    Author : Fekadu Lemessa Bayisa; Jun Yu; Ottmar Cronie; Henning Omre; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computed tomography; magnetic resonance imaging; Gaussian mixture model; skew-Gaussian mixture model; hidden Markov random field; hidden Markov model; supervised statistical learning; synthetic CT images; pseudo-CT images; spike and slab prior; adaptive algorithm;

    Abstract : This thesis presents work on methods for the estimation of computed tomography (CT) images from magnetic resonance (MR) images for a number of diagnostic and therapeutic workflows. The study also demonstrates sparse signal recovery method, which is an intermediate method for magnetic resonance image reconstruction. READ MORE

  4. 7. Microbial Risks in Surface Water Sources

    Author : Johan Åström; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Surface water; Bifidobacteria; Microbial source tracking; Cryptosporidium.; QMRA; Flow-weighted sampling; Pathogens; Bacteroidales; Stochastic modelling; qPCR;

    Abstract : Microbial risks need to be properly handled for the provision of healthy drinking water. The mitigation of pathogens in the water source lowers the risk for infection associated with nominal and suboptimal drinking water treatment. READ MORE

  5. 8. Fatigue in long-term illness : Influencing factors and functional performance in chronic obstructive pulmonary disease and in cancer

    Author : Kristina Tödt; Anna Efverman; Maria Engström; Magnus Ekström; Marlene Malmström; Högskolan i Gävle; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; fatigue; chronic obstructive pulmonary disease; cancer; daily activity; health-related quality of life; mental health; physical capacity; physical activity; radiotherapy; work ability; fatigue; kroniskt obstruktiv lungsjukdom; cancer; daglig aktivitet; hälsorelaterad livskvalitet; oro och nedstämdhet; fysisk kapacitet; fysisk aktivitet; strålbehandling; arbetsförmåga;

    Abstract : Syfte: Avhandlingen studerade sambandet mellan fatigue (trötthet) och valda inverkande faktorer, funktionsförmåga (fysisk och daglig aktivitet och arbetsförmåga) samt med hälsorelaterad livskvalitet (HRQL) vid kroniskt obstruktiv lungsjukdom (KOL) och vid cancer. Metod: Patienter med KOL (n=121, delarbete I-II) och patienter med cancer under pågående strålbehandling (n=457, delarbete III) studerades i tvärsnittsstudier. READ MORE

  6. 9. On Medical Image Segmentation With Noisy Labels

    Author : Marcus Nordström; Henrik Hult; Atsuto Maki; Fredrik Kahl; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical image segmentation; image segmentation; machine learning; supervised learning; label noise; Sörensen-Dice coefficient; soft-Dice; Medicinsk bildsegmentering; bildsegmentering; maskininlärning; övervakat lärande; annoteringsbrus; Sörensen-Dice koefficienten; soft-Dice; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Mathematical Statistics; Matematisk statistik;

    Abstract : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. READ MORE

  7. 10. Large scale integration and interactive exploration of cancer data – with applications to glioblastoma

    Author : Patrik Johansson; Sven Nelander; Rebecka Jörnsten; Lene Uhrbom; Gary Bader; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Glioblastoma; data integration; network modeling; interactive exploration; precision medicine; Oncology; Onkologi; Molekylär medicin; Molecular Medicine; Statistics; Statistik;

    Abstract : Glioblastoma is the most common malignant brain tumor, with a median survival of approximately 15 months. The standard of care treatment consists of surgical resection followed by radiotherapy and chemotherapy, where chemotherapy only prolongs survival by approximately 3 months. READ MORE