Sökning: "Biomedicinsk bildanalys"

Hittade 4 uppsatser innehållade orden Biomedicinsk bildanalys.

  1. 1. Mapping the relationship between integrin activation, focal adhesion organization and mechanotransduction in fibroblasts

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Valeriia Grudtsyna; [2021]
    Nyckelord :Mechanotransduction; Focal adhesions; Yes-associated protein 1 YAP ; Integrins; Fibronectin; Polarization microscopy; TIRF microscopy; Fluorescence anisotropy; YAP activation; Image analysis; Cell biology; Technology and Engineering;

    Sammanfattning : Cells can sense and respond to mechanical forces through a process called mechanotransduction. It is controlled by the mechanical cues, originated from the cell's microenvironment, and occurs via a complex, step-wise process. LÄS MER

  2. 2. Image Analysis of Circulating Tumour Cell Clusters from Imaging Flow Cytometry Data

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Filip Berg; [2020]
    Nyckelord :MSc; Image Analysis; Segmentation; Otsu Threshold; Watershed; Circulating Tumour Cells; Imaging Flow Cytometry; Technology and Engineering;

    Sammanfattning : Circulating tumour cells (CTCs) are cancer cells that have entered the circulation of the body breaking free from their primary tumour and that can act as progenitors of metastasis. At the time of writing, a study on a novel method to detect and count CTCs using imaging flow cytometry (IFC) is being conducted at Lund University. LÄS MER

  3. 3. sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Alexander Olsson; [2018]
    Nyckelord :Electromyography; Machine Learning; Deep Learning; Gesture Recognition; Neural Networks; Technology and Engineering;

    Sammanfattning : In myoelectric prosthesis design, there is often a trade-off between control robustness and range of executable movements. As a low movement error rate is necessary in any real application, this often results in a quite severe limitation on the dexterity of the user. LÄS MER

  4. 4. Machine learning for blob detection in high-resolution 3D microscopy images

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Martin Ter Haak; [2018]
    Nyckelord :Biomedical Image Analysis; Blob Detection; Machine Learning; 3D; Computer Vision; Image Processing; Biomedicinsk bildanalys; Blobdetektion; Maskininlärning; 3D; Datorseende; Bildbehandling;

    Sammanfattning : The aim of blob detection is to find regions in a digital image that differ from their surroundings with respect to properties like intensity or shape. Bio-image analysis is a common application where blobs can denote regions of interest that have been stained with a fluorescent dye. LÄS MER