机译:基于残余块和像素局部权重的全卷积神经网络在图像中自动像素级裂纹分割
Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia Faculty of Information and Communication Technology BUITEMS Quetta Pakistan;
Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia;
Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia;
Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia;
Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia Faculty of Information and Communication Technology BUITEMS Quetta Pakistan;
Deep learning; Crack detection; Imbalanced dataset; Loss functions; Residual blocks; Pixel local weights;
机译:基于超像素和卷积神经网络的CT扫描自动器官分割
机译:3D残余卷积神经网络MR图像自动冲程后病变分割
机译:深度卷积神经网络训练中使用的局部空间信息的特征在CT图像上的前列腺自动分割
机译:级联卷积神经网络三维CT图像中椎骨自动分割,定位和鉴定
机译:利用卷积神经网络和局部相位增强的超声图像膝关节软骨分割
机译:基于超像素和卷积神经网络的CT扫描自动器官分割
机译:APLCNET:基于实例分割的自动像素级裂缝检测网络