Browsing Institutt for sirkulasjon og bildediagnostikk by Subject "data augmentation"
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BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images
(Journal article; Peer reviewed, 2023)The early detection of breast cancer using mammogram images is critical for lowering women’s mortality rates and allowing for proper treatment. Deep learning techniques are commonly used for feature extraction and have ...