SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework with Semantic Image Representation

1 code implementation • IEEE Transactions on Medical Imaging 2020 • Shumao Pang, Chunlan Pang, Lei Zhao, Yangfan Chen, Zhihai Su, Yujia Zhou, Meiyan Huang, Wei Yang, Hai Lu, Qianjin Feng

The SpineParseNet consists of a 3D graph convolutional segmentation network (GCSN) for 3D coarse segmentation and a 2D residual U-Net (ResUNet) for 2D segmentation refinement.

Segmentation

Latent Dirichlet Allocation with Residual Convolutional Neural Network Applied in Evaluating Credibility of Chinese Listed Companies

no code implementations • 24 Nov 2018 • Mohan Zhang, Zhichao Luo, Hai Lu

This project demonstrated a methodology to estimating cooperate credibility with a Natural Language Processing approach.