Sökning: "tissue machine"

Visar resultat 1 - 5 av 75 uppsatser innehållade orden tissue machine.

  1. 1. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Raziyeh Mohseni; [2023]
    Nyckelord :;

    Sammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER

  3. 2. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :William Tirmén; [2023]
    Nyckelord :Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

    Sammanfattning : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. LÄS MER

  4. 3. Acute Testosterone Changes in Response to Machines and Free Weights ResistanceExercise: A Systematic Review

    Magister-uppsats,

    Författare :josef farah; [2023]
    Nyckelord :;

    Sammanfattning : Introduction: Testosterone is an anabolic steroid that plays key roles in growing muscles, enhancing physical performance and appearance, maintaining bone density, sex drive and sperm production. It is highly sought-after by athletes for its ability to accelerate muscle growth. 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