Search for dissertations about: "CRFs"

Showing result 1 - 5 of 8 swedish dissertations containing the word CRFs.

  2. 1. From protein sequence to structural instability and disease

    Author : Lixiao Wang; Uwe Sauer; Sven Hovmöller; Umeå universitet; []
    Keywords : protein domain; remote homologue; intrinsically disorder unstructured proteins; protein function; point mutation; protein family protein stability; HMMs; CRFs; SVMs;

    Abstract : A great challenge in bioinformatics is to accurately predict protein structure and function from its amino acid sequence, including annotation of protein domains, identification of protein disordered regions and detecting protein stability changes resulting from amino acid mutations. The combination of bioinformatics, genomics and proteomics becomes essential for the investigation of biological, cellular and molecular aspects of disease, and therefore can greatly contribute to the understanding of protein structures and facilitating drug discovery. READ MORE

  4. 2. Defining the clinical usefulness of vertebral fracture assessment

    Author : Lisa Johansson; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Keywords : Vertebral fracture; vertebral fracture assessment; osteoporosis; DXA; HRpQCT; bone microindentation; mild vertebral fracture; physical function; fracture risk; incident fracture; older women;

    Abstract : Objective: Vertebral fractures (VFs) are the most common osteoporotic fracture and among the strongest predictors for future fracture. VFs can be identified by vertebral fracture assessment (VFA) from lateral spine imaging (LSI) by dual-energy X-ray absorptiometry (DXA). READ MORE

  5. 3. Geometric Supervision and Deep Structured Models for Image Segmentation

    Author : Måns Larsson; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; conditional random fields; convolutional neural networks; deep structured models; Semantic segmentation; self-supervised learning; supervised learning; semi-supervised learning;

    Abstract : The task of semantic segmentation aims at understanding an image at a pixel level. Due to its applicability in many areas, such as autonomous vehicles, robotics and medical surgery assistance, semantic segmentation has become an essential task in image analysis. READ MORE

  6. 4. Systemic Lupus Erythematosus, with focus on vascular wall changes, cardiac risk-factor awareness and cardiovascular events

    Author : Christine Bengtsson; Reumatologi och molekylär skelettbiologi; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; microvascular reactivity; arteria stiffness; cardiac risk factors; Cardiovascular event; SLE;

    Abstract : Systemic Lupus Erythematosus is an autoimmune disease with a wide range of disease manifestations with respect to severity and magnitude of organ involvement. An increased risk of cardiovascular disease (CVD) compared with the general population causes both morbidity and mortality in SLE patients. READ MORE

  7. 5. End-to-End Learning of Deep Structured Models for Semantic Segmentation

    Author : Måns Larsson; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Semantic segmentation; deep structured models; supervised learning; convolutional neural networks; conditional random fields;

    Abstract : The task of semantic segmentation aims at understanding an image at a pixel level. This means assigning a label to each pixel of an image, describing the object it is depicting. READ MORE