Sökning: "3D image segmentation"

Visar resultat 16 - 20 av 53 avhandlingar innehållade orden 3D image segmentation.

  1. 16. Methods and models for 2D and 3D image analysis in microscopy, in particular for the study of muscle cells

    Författare :Patrick Karlsson Edlund; Ewert Bengtsson; Joakim Lindblad; Carolina Wählby; Fritz Albregtsen; Uppsala universitet; []
    Nyckelord :medical image analysis; image segmentation; fluorescence microscopy; cytometry; human skeletal muscle;

    Sammanfattning : Many research questions in biological research lead to numerous microscope images that need to be evaluated. Here digital image cytometry, i.e., quantitative, automated or semi-automated analysis of the images is an important rapidly growing discipline. LÄS MER

  3. 17. On Multidimensional Dynamic Fluorescence Imaging and Quantitative Image Analysis in Wide-Field Microscopy Applications to Studies of Astroglial Cells

    Författare :Siamak Khatibi; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; volume estimation; astrocyte; calcium wave; intercellular signaling; volumetric image analysis; fluorescence imaging; three-dimensional 3D reconstruction; segmentation;

    Sammanfattning : Modern biological research has benefited from a renaissance in light microscopy, brought about by the convergence of developments in fields as diverse as electronics, optics, molecular biology, computer science, and reagent chemistry. Integration of these has transformed microscopy into a highly useful, dynamic research tool for biology and medicine. LÄS MER

  4. 18. Statistical Segmentation and Registration of Medical Ultrasound Data

    Författare :Mattias Hansson; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Registration; Segmentation; Feature descriptor; Statistical image and signal processing; Medical ultrasound; Variational methods; Mixture model; Bayesian; Markov Chain Monte Carlo; Similarity measur;

    Sammanfattning : The interpretation of ultrasonic imagery is typically not straightforward and of quite subjective nature and therefore strongly dependent on the expertise of its users. Thus the development of algorithms which aid in the interpretation of ultrasonic data is a highly relevant topic. LÄS MER

  5. 19. Spatio-temporal filtering of ultrasound image sequences

    Författare :Nina Eriksson-Bylund; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : A number of diseases result in reduced perfusion of the vital organs of the body. Measures of the blood flow in the small vessels (the perfusion) of these organs would contribute significantly to a clinical diagnosis. Myocardial contrast echocardiography is a rapidly developing technique for non-invasive ultrasound imaging of perfusion. LÄS MER

  7. 20. Geometric Supervision and Deep Structured Models for Image Segmentation

    Författare :Måns Larsson; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; conditional random fields; convolutional neural networks; deep structured models; Semantic segmentation; self-supervised learning; supervised learning; semi-supervised learning;

    Sammanfattning : 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. LÄS MER