机译:使用LeNet-5神经网络基于图像的尿沉渣分析和分类
College of Medical Instruments Shanghai University of Medicine & Health Sciences Shanghai China Beijing Advanced Innovation Center for Imaging Technology Capital Normal University Beijing P.R. China;
Department of Urology Ren Ji Hospital School of Medicine Shanghai Jiao Tong University Shanghai P.R. China;
Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China;
Shanghai Institute of Immunology Department of Immunology and Microbiology Shanghai Jiao Tong University School of Medicine Shanghai China;
Shanghai Institute of Immunology Department of Immunology and Microbiology Shanghai Jiao Tong University School of Medicine Shanghai China School of Life Sciences Shanghai University Shanghai China;
LeNet-5 network; back-propagation neutral networks; urine sample analysis;
机译:微调卷积神经网络集成,用于尿沉渣显微图像分类
机译:尿沉渣分析:sediMAX的分析和诊断性能-一种新型的基于自动显微镜图像的尿沉渣分析仪。
机译:尿沉渣分析:sediMAX的分析和诊断性能-一种新型的基于自动显微镜图像的尿沉渣分析仪。
机译:基于卷积神经网络的尿沉积物分类
机译:基于图像的特征学习和分类的卷积神经网络体系结构研究。
机译:EEG信号分析使用分类技术:Logistic回归人工神经网络支持向量机和卷积神经网络
机译:尿沉渣分析:sediMAX的分析和诊断性能-一种新型的基于自动显微镜图像的尿沉渣分析仪