Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation

16 Sep 2019Peichao LiXiao-Yun ZhouZhao-Yang WangGuang-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... (read more)

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