Sökning: "Histopathology"

Visar resultat 1 - 5 av 37 uppsatser innehållade ordet Histopathology.

  1. 1. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Markus Jonsson; [2024]
    Nyckelord :Self-supervised learning; Representation learning; Computer vision;

    Sammanfattning : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. LÄS MER

  3. 2. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Christoforos Spyretos; [2023]
    Nyckelord :medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

    Sammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER

  4. 3. Characterization of Carotid Atherosclerotic Stenosis on Photon-Counting Computed Tomography

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :My Celander; [2023]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Introduction and aim Atherosclerotic stenosis located at the carotid bifurcation accounts for 10% − 20% of all Transient Ischemic Attacks (TIA) and ischemic strokes, which occurs when Atherosclerotic stenosis, or so-called plaque, ruptures. The current method to evaluate carotid atherosclerotic stenosis is to measure the degree of stenosis. LÄS MER

  5. 4. Pediatric Brain Tumor Type Classification in MR Images Using Deep Learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Tamara Bianchessi; [2022]
    Nyckelord :pediatric brain tumors; MR image analysis; deep learning; classification; model explainability;

    Sammanfattning : Brain tumors present the second highest cause of death among pediatric cancers. About 60% are located in the posterior fossa region of the brain; among the most frequent types the ones considered for this project were astrocytomas, medulloblastomas, and ependymomas. LÄS MER

  7. 5. Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Kajsa Ledesma Eriksson; [2022]
    Nyckelord :Whole Slide Image; Breast Cancer; Histopathology; Deep Metric Learning; Deep Learning; Image Analysis; Mathematics and Statistics;

    Sammanfattning : Female breast cancer is a complex and heterogeneous disease that accounts for most of the deaths caused by cancer in women worldwide. To stratify breast cancer patients into treatment groups is a challenging task, and in recent years, analysis of the genes active in the tumour has been used in the decision of cancer therapy. LÄS MER