Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation
Peichao Li,Xiao-Yun Zhou,Zhao-Yang Wang,Guang-Zhong Yang,Peichao Li,Xiao-Yun Zhou,Zhao-Yang Wang,Guang-Zhong Yang
Accurate volume segmentation from the Computed Tomography (CT) scan is a common prerequisite for pre-operative planning, intra-operative guidance and quantitative assessment of therapeutic outcomes in robot-assisted Minimally Invasive Surgery (MIS). 3D Deep Convolutional Neural Network (DCNN) is a viable solution for this task, but is memory intensive. Small isotropic patches are cropped from the ...
