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Visar resultat 1 - 5 av 242 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Identifying Graph Characteristics in Growing Vascular Networks

    Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskap

    Författare :Christopher Finn Plummer; [2024]
    Nyckelord :Anigogenesis; Vascular Networks; Network Science;

    Sammanfattning : One of the ways that a vascular network grows is through the process of angiogenesis, wherebya new blood vessel forms as a branch from an existing vessel towards an area which isstimulating vascular growth. Due to the demands for nutrients and waste transport, growingtumour cells will access the surrounding vascular network by inducing angiogenesis. LÄS MER

  3. 2. Parameteridentifikation för matematisk modell beskrivande tumörcellers och makrofagers interaktioner

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Jonatan Bertolozzi; Regina Gustavsson; Karl Olsson-Lalor; Ellinor Svenningsson; [2023-11-28]
    Nyckelord :;

    Sammanfattning : Det finns sedan tidigare en mängd matematiska modeller som beskriver tumörcellers tillväxt och interaktioner med makrofager i kroppen. I projektet studerades en av dessa vilken beskriver tillväxtförloppet av malignt melanom i möss. Modellen innehåller ett antal parametrar varav några är oidentifierade. LÄS MER

  4. 3. 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

  5. 4. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  7. 5. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Laureanne Antoinette Josephine Brechje Geraldine van Dijk; Tara Helena Irene de Groot; [2023]
    Nyckelord :Lymphocytes; Image Processing; Computer-Assisted; Pathology; Deep Learning; Artificial Intelligence; Breast Neoplasms;

    Sammanfattning : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. LÄS MER