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机译:模型卷积神经网络的模范方式中透镜内联全息显微镜的图像增强
Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Computat Imaging Lab Shanghai 200240 Peoples R China;
Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Biophoton Lab Shanghai 200240 Peoples R China;
Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Biophoton Lab Shanghai 200240 Peoples R China;
Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Computat Imaging Lab Shanghai 200240 Peoples R China;
Shanghai Jiao Tong Univ Univ Michigan Shanghai Jiao Tong Univ Joint Inst Biophoton Lab Shanghai 200240 Peoples R China;
Digital holography; Lensless microscopy; Deep learning;
机译:使用全局和局部特征提取与卷积神经网络的平行剩余学习的3D脑MR图像的去噪
机译:使用卷积神经网络进行医学图像降噪:一种残差学习方法
机译:深度卷积神经网络对图像去噪的剩余学习
机译:基于边缘增强和卷积神经网络的图像去噪
机译:实现小波变换在卷积神经网络的图像去噪中的汇集过程中
机译:使用全局和局部特征提取与卷积神经网络的平行剩余学习的3D脑MR图像的去噪
机译:基于多尺度残余学习方法的卷积神经网络的空中图像去噪
机译:用于细粒度图像分类的卷积神经网络中的传递学习。