机译:用于肺结核检测的假阳性降低的深度3D残余CNN CNN
State Key Lab of CAD &
CGZhejiang UniversityHangzhou 310027 China;
The School of Aeronautics and AstronauticsZhejiang UniversityHangzhou 310027 China;
State Key Lab of CAD &
CGZhejiang UniversityHangzhou 310027 China;
State Key Lab of CAD &
CGZhejiang UniversityHangzhou 310027 China;
computer‐aided diagnosis (CAD) system; deep learning; false positive reduction; pulmonary nodule detection; 3D residual CNN;
机译:用于肺结核检测的假阳性降低的深度3D残余CNN CNN
机译:单视图2D CNN,具有全自动非结节分类,用于肺结核检测中的假阳性降低
机译:用于肺结核检测的假阳性降低的多尺度逐渐积分CNN
机译:用于肺结核检测的假阳性降低的大残余多视图3D CNN
机译:增强的假阳性减少方案的肺结节的计算机化检测
机译:学习基于残差3D-2D CNN的深层空间光谱特征进行高光谱图像分类
机译:基于胸部CT图像的多尺寸异质3D CNN用于肺结核检测的假阳性降低