Search for dissertations about: "image structure"

Showing result 1 - 5 of 1678 swedish dissertations containing the words image structure.

  2. 1. Automated Tissue Image Analysis Using Pattern Recognition

    Author : Jimmy Azar; Anders Hast; Ewert Bengtsson; Martin Simonsson; Marco Loog; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tissue image analysis; pattern recognition; digital histopathology; immunohistochemistry; paired antibodies; histological stain evaluation; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE

  4. 2. Robust Image Registration for Improved Clinical Efficiency : Using Local Structure Analysis and Model-Based Processing

    Author : Daniel Forsberg; Hans Knutsson; Mats Andersson; Claes Lundström; Wiro Niessen; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image registration; deformable models; scoliosis; visualization; volume rendering; adaptive regularization; GPGPU; CUDA;

    Abstract : Medical imaging plays an increasingly important role in modern healthcare. In medical imaging, it is often relevant to relate different images to each other, something which can prove challenging, since there rarely exists a pre-defined mapping between the pixels in different images. READ MORE

  5. 3. A Global Linear Optimization Framework for Adaptive Filtering and Image Registration

    Author : Gustaf Johansson; Hans Knutsson; Mats Andersson; Klas Nordberg; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Global Linear Optimization; Linear Optimization; Regularization; Medical Image Registration; Structure Tensor;

    Abstract : Digital medical atlases can contain anatomical information which is valuable for medical doctors in diagnosing and treating illnesses. The increased availability of such atlases has created an interest for computer algorithms which are capable of integrating such atlas information into patient specific dataprocessing. READ MORE

  6. 4. LiFeSO4F as a Cathode Material for Lithium-Ion Batteries : Synthesis, Structure, and Function

    Author : Adam Sobkowiak; Fredrik Björefors; Kristina Edström; Anna Andersson; M. Rosa Palacin; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Li-ion battery; cathode; LiFeSO4F; tavorite; triplite; synthesis; performance; structure; coating; PEDOT; XRD; Mössbauer spectrocopy; SEM; TEM; electrochemistry; Kemi med inriktning mot materialkemi; Chemistry with specialization in Materials Chemistry;

    Abstract : In this thesis, two recently discovered polymorphs of LiFeSO4F, adopting a tavorite- and triplite-type structure, were investigated as potential candidates for use as cathode materials in Li-ion batteries. The studies aimed at enriching the fundamental understanding of the synthetic preparations, structural properties, and electrochemical functionality of these materials. READ MORE

  7. 5. A Multidimensional Filtering Framework with Applications to Local Structure Analysis and Image Enhancement

    Author : Björn Svensson; Hans Knutsson; Mats Andersson; Oleg Burdakov; Abhir Bhalerao; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical image science; multidimensional filtering; image enhancement; image registration; image segmentation; filter networks; graphics processing units GPU ; Medical engineering; Medicinsk teknik;

    Abstract : Filtering is a fundamental operation in image science in general and in medical image science in particular. The most central applications are image enhancement, registration, segmentation and feature extraction. READ MORE