Sökning: "Kajsa Ledesma Eriksson"

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  1. 1. 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