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机译:综合卷积性神经网络的乳腺癌分类,减少算法算法
Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia Department of Computer Science Sukkur IBA University Sukkur Pakistan;
Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia;
Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia;
Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia Department of Computer Science Sukkur IBA University Sukkur Pakistan;
Our Lady of Lourdes hospital Droghcda Ireland;
Breast cancer; Image classification; Convolutional neural network; Deep learning; Transfer learning; Histopathology biopsy image;
机译:EMS-Net:用于乳腺癌组织学图像分类的多尺度卷积神经网络集成
机译:基于磁共振成像的Atlas配准和整体深度卷积神经网络前列腺分割
机译:利用深卷积神经网络(CNN)多阶级分类乳腺癌异常
机译:多视图深度卷积神经网络可减少乳腺癌筛查中的假阳性结果
机译:基于卷积神经网络的人体个性化3D建模方法及其分类
机译:基于深度卷积神经网络的癫痫脑电图(EEG)信号分类
机译:使用深卷积神经网络自动乳腺癌细胞分类