Research Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering Northwestern Polytechnical University Xian 710072 China;
National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and Engineering Northwestern Polytechnical University Xian 710072 China;
Pulmonary nodule detection; Residual learning; Dense connection; Chest CT;
机译:通过密集的反复连接和基于残差的分层特征集成来准确突出的对象检测
机译:结节:将受限的多尺度LoG滤镜与密集扩张的3D深卷积神经网络相结合,以进行肺结节检测
机译:基于多尺度的肺结核检测特征3D U-Net卷积神经网络的转移学习
机译:一种基于残差学习和密集连接的肺结节检测方法
机译:使用机器学习和深度学习方法表征肺结节以改善肺癌诊断
机译:基于多尺度的肺结节检测特征3D U-Net卷积神经网络的转移学习
机译:通过在线样本的3D ConvNets自动检测肺结节 过滤和混合损失残差学习