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机译:基于8层卷积神经网络的Alzheimer疾病分类,漏极整流线性单元和MAX汇集
Univ Leicester Dept Informat Leicester LE1 7RH Leics England;
West Virginia Sch Osteopath Med 400 N Lee St Lewisburg WV 24901 USA;
Nanjing Med Univ Affiliated Nanjing Brain Hosp Dept Psychiat Nanjing Jiangsu Peoples R China;
Southeast Univ Zhong Da Hosp Dept Radiol Nanjing 210009 Jiangsu Peoples R China;
Nanjing Med Univ Childrens Hosp Dept Radiol Nanjing 210008 Jiangsu Peoples R China;
Nanjing Med Univ Affiliated Hosp 1 Dept Neurol Nanjing 210029 Jiangsu Peoples R China;
Alzheimer's disease; Convolutional neural network; Leaky rectified linear unit; Max pooling; Data augmentation; Activation function;
机译:基于8层卷积神经网络的Alzheimer疾病分类,漏极整流线性单元和MAX汇集
机译:八层卷积神经网络与批量标准化和辍学技术分类Alzheimer疾病
机译:六层卷积神经网络用泄漏整流线性单位进行综合语言手指识别,用于治疗和康复
机译:具有可分离卷积神经网络的组织病理学图像和参数整流线性单元的乳腺癌分类
机译:了解Alzheimer疾病分类中的3D卷积神经网络
机译:基于最大重叠池卷积神经网络的高光谱遥感图像分类
机译:具有指数线性单元的卷积神经网络,提高导管癌原位分类,基于秩的加权池