Sökning: "Image analysis"

Visar resultat 1 - 5 av 1121 avhandlingar innehållade orden Image analysis.

  1. 1. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis

    Författare :Gustaf Kylberg; Ida-Maria Sintorn; Gunilla Borgefors; Walter Kropatsch; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; virus identification; transmission electron microscopy; texture analysis; texture descriptors; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Viruses and their morphology have been detected and studied with electron microscopy (EM) since the end of the 1930s. The technique has been vital for the discovery of new viruses and in establishing the virus taxonomy. Today, electron microscopy is an important technique in clinical diagnostics. LÄS MER

  2. 2. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors

    Författare :Marco Domenico Cirillo; Anders Eklund; Veronika Cheplygina; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep learning; Medical image analysis; Burn wounds; Brain tumors; Image classification; Image segmentation; Image augmentation; CNNs; GANs;

    Sammanfattning : The number of medical images that clinicians need to review on a daily basis has increased dramatically during the last decades. Since the number of clinicians has not increased as much, it is necessary to develop tools which can help doctors to work more efficiently. LÄS MER

  3. 3. Live Single Cell Imaging and Analysis Using Microfluidic Devices

    Författare :Mohammad Ali Khorshidi; Helene Andersson-Svahn; Håkan Jönsson; Carolina Wählby; Johan Elf; KTH; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Single cell analysis; time-lapse fluorescence imaging; automated image analysis; microwell; droplet microfluidics; NK cells; single cell tracking; migration behavior analysis; cell-cell interaction; optical microscopy; image analysis; image processing; microfluidics; immune cells; tracking; counting; morphology analysis;

    Sammanfattning : Today many cell biological techniques study large cell populations where an average estimate of individual cells’ behavior is observed. On the other hand, single cell analysis is required for studying functional heterogeneities between cells within populations. LÄS MER

  4. 4. Segmentation Methods for Medical Image Analysis : Blood vessels, multi-scale filtering and level set methods

    Författare :Gunnar Läthén; Reiner Lenz; Niels Christian Overgaard; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Image segmentation; Medical image analysis; Level set method; Quadrature filter; Multi-scale; Image analysis; Bildanalys;

    Sammanfattning : Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g. face recognition, tracking of moving cars and people etc, it is of general interest to design robust and fast segmentation algorithms. LÄS MER

  5. 5. Image Filtering Methods for Biomedical Applications

    Författare :M. Khalid Khan Niazi; Ewert Bengtsson; Ingela Nyström; Lucas J. van Vliet; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital image analysis; Image filtering; Intensity inhomogeneity correction; Empirical mode decomposition; Particle Swarm optimization; Image registration; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Filtering is a key step in digital image processing and analysis. It is mainly used for amplification or attenuation of some frequencies depending on the nature of the application. Filtering can either be performed in the spatial domain or in a transformed domain. LÄS MER