Sökning: "tissue segmentation"

Visar resultat 1 - 5 av 57 uppsatser innehållade orden tissue segmentation.

  1. 1. Anatomical segmentation of the human brain: comparative assessment of two automatic methods

    Master-uppsats,

    Författare :Carl von Dorrien; [2023-08-22]
    Nyckelord :Medical physics; MAPER; FreeSurfer; FastSurfer; Automatic brain segmentation; MRI; Deep Neural Network; Brain;

    Sammanfattning : Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the brain because of its excellent soft tissue contrast. LÄS MER

  3. 2. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Sebastian Eriksson; Fredrik Forsberg; [2023]
    Nyckelord :image analysis; cancer research; fluorescent microscopy; image segmentation; bildanalys; cancerforskning; fluorescensmikroskopi; bildsegmentering;

    Sammanfattning : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. LÄS MER

  4. 3. Simulating metal ct artefacts for ground truth generation in deep learning.

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Arthur Barakat; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

  5. 4. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method

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

    Författare :Alex Gunnarsson; Filip Karlsson; [2023]
    Nyckelord :;

    Sammanfattning : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. LÄS MER

  7. 5. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

    Master-uppsats, KTH/Kemi

    Författare :Julia Rune; [2023]
    Nyckelord :Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

    Sammanfattning : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). LÄS MER